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Hi everyone, exactly a week ago, we conducted a contest in this video. The answer to the question is given below: The correct order of working for Neural Network with explanation: B. The weighted sum of inputs is calculated A. The Bias is added D. The result is fed to an activation function C. Specific Neuron is activated Explanation: In a neural network, each neuron in one layer is connected to other neurons in the corresponding layers. These connections carry random weights. The weighted sum of the inputs is calculated, and an additional input in the form of bias is added (w * x + b). The result of this is fed to an activation function. Based on a particular threshold value, only those neurons get activated that crosses the threshold value. We are pleased to announce the 3 lucky winners who got the right answer for our quiz: 1. Divya Maskar 2. Kartik Singhal 3. Michael Ipinolu Congratulations to all the winners! They've won an Amazon voucher worth INR 500.
The answer of quiz is in the following order:- B- The weighted sum of the inputs is calculated A- The bias is added D- The result is fed to an activation function C- Specific neuron is activated This correct order of the above question's answer.
Hi Himanshu, thanks for your reply! We will give out the answer to the quiz next Wednesday, 12th June 2019. If your answer is right, you could be one of the 3 lucky winners to grab Rs 500 or 10$ worth Amazon voucher. Stay Tuned!
Hi Kartik, thanks for your reply! We will give out the answer to the quiz next Wednesday, 12th June 2019. If your answer is right, you could be one of the 3 lucky winners to grab Rs 500 or 10$ worth Amazon voucher. Stay Tuned!
"Hi, you got the right answer. Kudos. The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation. The correct order of working for Neural Network with explanation: B. The weighted sum of inputs is calculated A. The Bias is added D. The result is fed to an activation function C. Specific Neuron is activated Explanation: In a neural network, each neuron in one layer is connected to other neurons in the corresponding layers. These connections carry random weights. The weighted sum of the inputs is calculated, and an additional input in the form of a bias is added (w * x + b). The result of this is fed to an activation function. Based on a particular threshold value, only those neurons get activated that crosses the threshold value. "
Order: BADC Working of a neural network: - The weighted sum of the input is calculated - The bias is added - The result is fet to an activation function - Specific neuron is activated Nice video! It helped me to learn deep learning in 5 minutes
"Hi, you got the right answer. Kudos. The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation. The correct order of working for Neural Network with explanation: B. The weighted sum of inputs is calculated A. The Bias is added D. The result is fed to an activation function C. Specific Neuron is activated Explanation: In a neural network, each neuron in one layer is connected to other neurons in the corresponding layers. These connections carry random weights. The weighted sum of the inputs is calculated, and an additional input in the form of a bias is added (w * x + b). The result of this is fed to an activation function. Based on a particular threshold value, only those neurons get activated that crosses the threshold value. "
The order for the neutral network would be B→ A→D→ C. B is first because each neuron had values to it, called a weighted channel, and all these neurons have a unique number associated with it, called bias. Bias is then added to the weighted sum of inputs, meaning A comes after B. D then follows because that result is fed to an activation function. Out of the results fed, specific neurons are activated.
Hi, you got the right answer. Kudos. The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation. The correct order of working for Neural Network with explanation: B. The weighted sum of inputs is calculated A. The Bias is added D. The result is fed to an activation function C. Specific Neuron is activated Explanation: In a neural network, each neuron in one layer is connected to other neurons in the corresponding layers. These connections carry random weights. The weighted sum of the inputs is calculated, and an additional input in the form of a bias is added (w * x + b). The result of this is fed to an activation function. Based on a particular threshold value, only those neurons get activated that crosses the threshold value.
"Hi, you got the right answer. Kudos. The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation. The correct order of working for Neural Network with explanation: B. The weighted sum of inputs is calculated A. The Bias is added D. The result is fed to an activation function C. Specific Neuron is activated Explanation: In a neural network, each neuron in one layer is connected to other neurons in the corresponding layers. These connections carry random weights. The weighted sum of the inputs is calculated, and an additional input in the form of a bias is added (w * x + b). The result of this is fed to an activation function. Based on a particular threshold value, only those neurons get activated that crosses the threshold value. "
@@SimplilearnOfficial I know this is an old video but can you please explain what the * stands for in w*x? Also what exactly is a weighted sum? Can you explain with an example please? Thank you.
The * in w*x represents multiplication of weights with inputs. When you take the product of weights and inputs and sum it, it is known as weighted sum of inputs. This result is added with a bias and passed to an activation function to decide which nodes to fire.
1. The weighted sum of input is calculated. 2. The bias is added. 3.The result is fed to and activation function. 4.Specific neuron is activated. It is a good video to differentiate between machine and deep learning. Thanks ..
Hi Kashyap, thanks for your reply! We will give out the answer to the quiz next Wednesday, 12th June 2019. If your answer is right, you could be one of the 3 lucky winners to grab Rs 500 or 10$ worth Amazon voucher. Stay Tuned!
Hi Kashyap, you got the right answer. Kudos. The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation. The correct order of working for Neural Network with explanation: B. The weighted sum of inputs is calculated A. The Bias is added D. The result is fed to an activation function C. Specific Neuron is activated Explanation: In a neural network, each neuron in one layer is connected to other neurons in the corresponding layers. These connections carry random weights. The weighted sum of the inputs is calculated, and an additional input in the form of a bias is added (w * x + b). The result of this is fed to an activation function. Based on a particular threshold value, only those neurons get activated that crosses the threshold value.
"Hi, you got the right answer. Kudos. The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation. The correct order of working for Neural Network with explanation: B. The weighted sum of inputs is calculated A. The Bias is added D. The result is fed to an activation function C. Specific Neuron is activated Explanation: In a neural network, each neuron in one layer is connected to other neurons in the corresponding layers. These connections carry random weights. The weighted sum of the inputs is calculated, and an additional input in the form of a bias is added (w * x + b). The result of this is fed to an activation function. Based on a particular threshold value, only those neurons get activated that crosses the threshold value. "
Quiz sequence is: B. Weighted sum of inputs is calculated A. Bias is added D. The result is fed to activation function. C. Specific neuron is activated
Hi Sandeep, thanks for your reply! We will give out the answer to the quiz next Wednesday, 12th June 2019. If your answer is right, you could be one of the 3 lucky winners to grab Rs 500 or 10$ worth Amazon voucher. Stay Tuned!
"Hi Sandeep, you got the right answer. Kudos. The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation. The correct order of working for Neural Network with explanation: B. The weighted sum of inputs is calculated A. The Bias is added D. The result is fed to an activation function C. Specific Neuron is activated Explanation: In a neural network, each neuron in one layer is connected to other neurons in the corresponding layers. These connections carry random weights. The weighted sum of the inputs is calculated, and an additional input in the form of a bias is added (w * x + b). The result of this is fed to an activation function. Based on a particular threshold value, only those neurons get activated that crosses the threshold value. "
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i'm interested in ai, i am happy to find this vidio. After watching the video on deep learning, I was truly amazed by the capabilities of this technology. Deep learning involves training neural networks with multiple layers to process and understand complex data. It's fascinating how these networks can learn from vast amounts of data and make accurate predictions. One thing that struck me was the concept of feature extraction. Deep learning models can automatically learn relevant features from the data.
"Hi Betty, we are sorry to say that you got the wrong answer but in any case, the contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation. The correct answer to the quiz is Option B. Explanation: In a neural network, the error in the model is always calculated after finding the predicted output, i.e., at the output layer of the network.This predicted output is compared with the actual output of the model. The backpropagation algorithm is performed on the network, and the weights are optimized to reduce the error in the model. This process is repeated multiple times to get the final output, which has the least minimum error. "
First take the input signal from input layer then sum of weight then added of bias to sum of weighted then these output taken by activation function( like sigmoid (1/e^-v)) as a input then activation function generates the output on output layer according to that input signal then according to the output action will be performed by specific neurons activated . So that B-C-A-D
The correct order of working for Neural Network with explanation: B. The weighted sum of inputs is calculated A. The Bias is added D. The result is fed to an activation function C. Specific Neuron is activated Explanation: In a neural network, each neuron in one layer is connected to other neurons in the corresponding layers. These connections carry random weights. The weighted sum of the inputs is calculated, and an additional input in the form of bias is added (w * x + b). The result of this is fed to an activation function. Based on a particular threshold value, only those neurons get activated that crosses the threshold value. The competition is now over, though. Thank you for watching and participating!
"Hi, you got the right answer. Kudos. The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation. The correct order of working for Neural Network with explanation: B. The weighted sum of inputs is calculated A. The Bias is added D. The result is fed to an activation function C. Specific Neuron is activated Explanation: In a neural network, each neuron in one layer is connected to other neurons in the corresponding layers. These connections carry random weights. The weighted sum of the inputs is calculated, and an additional input in the form of a bias is added (w * x + b). The result of this is fed to an activation function. Based on a particular threshold value, only those neurons get activated that crosses the threshold value. "
the answer is B-A-D-C coz first the weights are calculated and the bias is added then this are given as inputs to activation record and specific neurons are activated : )
"Hi, you got the right answer. Kudos. The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation. The correct order of working for Neural Network with explanation: B. The weighted sum of inputs is calculated A. The Bias is added D. The result is fed to an activation function C. Specific Neuron is activated Explanation: In a neural network, each neuron in one layer is connected to other neurons in the corresponding layers. These connections carry random weights. The weighted sum of the inputs is calculated, and an additional input in the form of a bias is added (w * x + b). The result of this is fed to an activation function. Based on a particular threshold value, only those neurons get activated that crosses the threshold value. "
B-A-D-C The Answer in order of correctness is B.A.D.C Answer: B-A-D-C. Thank you very much ! Scrolling through the comment section feels like watching an AI learning to comment on a video.
"Hi, you got the right answer. Kudos. The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation. The correct order of working for Neural Network with explanation: B. The weighted sum of inputs is calculated A. The Bias is added D. The result is fed to an activation function C. Specific Neuron is activated Explanation: In a neural network, each neuron in one layer is connected to other neurons in the corresponding layers. These connections carry random weights. The weighted sum of the inputs is calculated, and an additional input in the form of a bias is added (w * x + b). The result of this is fed to an activation function. Based on a particular threshold value, only those neurons get activated that crosses the threshold value. "
Hi, you got the right answer. Kudos. The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation. The correct order of working for Neural Network with explanation: B. The weighted sum of inputs is calculated A. The Bias is added D. The result is fed to an activation function C. Specific Neuron is activated Explanation: In a neural network, each neuron in one layer is connected to other neurons in the corresponding layers. These connections carry random weights. The weighted sum of the inputs is calculated, and an additional input in the form of a bias is added (w * x + b). The result of this is fed to an activation function. Based on a particular threshold value, only those neurons get activated that crosses the threshold value.
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"Hi, you got the right answer. Kudos. The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation. The correct order of working for Neural Network with explanation: B. The weighted sum of inputs is calculated A. The Bias is added D. The result is fed to an activation function C. Specific Neuron is activated Explanation: In a neural network, each neuron in one layer is connected to other neurons in the corresponding layers. These connections carry random weights. The weighted sum of the inputs is calculated, and an additional input in the form of a bias is added (w * x + b). The result of this is fed to an activation function. Based on a particular threshold value, only those neurons get activated that crosses the threshold value. "
First, Option B - The weighted sum of the inputs is calculated. Second, Option A - the bias is added. Third, Option D - the result is fed to an activation function. Lastly, Option C - specific neuron is activated.
"Hi, you got the right answer. Kudos. The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation. The correct order of working for Neural Network with explanation: B. The weighted sum of inputs is calculated A. The Bias is added D. The result is fed to an activation function C. Specific Neuron is activated Explanation: In a neural network, each neuron in one layer is connected to other neurons in the corresponding layers. These connections carry random weights. The weighted sum of the inputs is calculated, and an additional input in the form of a bias is added (w * x + b). The result of this is fed to an activation function. Based on a particular threshold value, only those neurons get activated that crosses the threshold value. "
"Hi, you got the right answer. Kudos. The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation. The correct order of working for Neural Network with explanation: B. The weighted sum of inputs is calculated A. The Bias is added D. The result is fed to an activation function C. Specific Neuron is activated Explanation: In a neural network, each neuron in one layer is connected to other neurons in the corresponding layers. These connections carry random weights. The weighted sum of the inputs is calculated, and an additional input in the form of a bias is added (w * x + b). The result of this is fed to an activation function. Based on a particular threshold value, only those neurons get activated that crosses the threshold value. "
Well, thanks for watching our video anyways. We have given the proper answer with explanation for the quiz below. Thanks. The correct order of working for Neural Network with explanation: B. The weighted sum of inputs is calculated A. The Bias is added D. The result is fed to an activation function C. Specific Neuron is activated Explanation: In a neural network, each neuron in one layer is connected to other neurons in the corresponding layers. These connections carry random weights. The weighted sum of the inputs is calculated, and an additional input in the form of a bias is added (w * x + b). The result of this is fed to an activation function. Based on a particular threshold value, only those neurons get activated that crosses the threshold value. "
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"Learning" implies "Understanding" among people. What we call Deep Learning is a misnomer. It ought to be called Deep Sorting. And Deep Matching for convolutional Neural Networks. Context adds meaning to a behavior.
"Hi , we are sorry to say that you got the wrong answer but in any case, the contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation. The correct order of working for Neural Network with explanation: B. The weighted sum of inputs is calculated A. The Bias is added D. The result is fed to an activation function C. Specific Neuron is activated Explanation: In a neural network, each neuron in one layer is connected to other neurons in the corresponding layers. These connections carry random weights. The weighted sum of the inputs is calculated, and an additional input in the form of bias is added (w * x + b). The result of this is fed to an activation function. Based on a particular threshold value, only those neurons get activated that crosses the threshold value. "
Hi Nayan, thanks for your reply! We will give out the answer to the quiz next Wednesday, 12th June 2019. If your answer is right, you could be one of the 3 lucky winners to grab Rs 500 or 10$ worth Amazon voucher. Stay Tuned!
Hi Nayan, we are sorry to say that you got the wrong answer but in any case, the contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation. The correct order of working for Neural Network with explanation: B. The weighted sum of inputs is calculated A. The Bias is added D. The result is fed to an activation function C. Specific Neuron is activated Explanation: In a neural network, each neuron in one layer is connected to other neurons in the corresponding layers. These connections carry random weights. The weighted sum of the inputs is calculated, and an additional input in the form of bias is added (w * x + b). The result of this is fed to an activation function. Based on a particular threshold value, only those neurons get activated that crosses the threshold value.
It is b. the weighted sum of input is calculated, then a.the bias is added, then c.the specific neuron is added, and lastly d.the result is feed to an activation function
Sorry, that's the wrong answer. The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation. The correct order of working for Neural Network with explanation: B. The weighted sum of inputs is calculated A. The Bias is added D. The result is fed to an activation function C. Specific Neuron is activated Explanation: In a neural network, each neuron in one layer is connected to other neurons in the corresponding layers. These connections carry random weights. The weighted sum of the inputs is calculated, and an additional input in the form of a bias is added (w * x + b). The result of this is fed to an activation function. Based on a particular threshold value, only those neurons get activated that crosses the threshold value.
The answer is B. The weighted sum of inputs is calculated A. The Bias is added. D. The result is fed to an activation function. C. Specific Neuron is activated.
"Hi, you got the right answer. Kudos. The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation. The correct order of working for Neural Network with explanation: B. The weighted sum of inputs is calculated A. The Bias is added D. The result is fed to an activation function C. Specific Neuron is activated Explanation: In a neural network, each neuron in one layer is connected to other neurons in the corresponding layers. These connections carry random weights. The weighted sum of the inputs is calculated, and an additional input in the form of a bias is added (w * x + b). The result of this is fed to an activation function. Based on a particular threshold value, only those neurons get activated that crosses the threshold value. "
Hi Pooja, thanks for your reply! We will give out the answer to the quiz next Wednesday, 12th June 2019. If your answer is right, you could be one of the 3 lucky winners to grab Rs 500 or 10$ worth Amazon voucher. Stay Tuned!
Hi Pooja, you got the right answer. Kudos. The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation. The correct order of working for Neural Network with explanation: B. The weighted sum of inputs is calculated A. The Bias is added D. The result is fed to an activation function C. Specific Neuron is activated Explanation: In a neural network, each neuron in one layer is connected to other neurons in the corresponding layers. These connections carry random weights. The weighted sum of the inputs is calculated, and an additional input in the form of a bias is added (w * x + b). The result of this is fed to an activation function. Based on a particular threshold value, only those neurons get activated that crosses the threshold value.
The correct order of working for Neural Network with explanation: B. The weighted sum of inputs is calculated A. The Bias is added D. The result is fed to an activation function C. Specific Neuron is activated Explanation: In a neural network, each neuron in one layer is connected to other neurons in the corresponding layers. These connections carry random weights. The weighted sum of the inputs is calculated, and an additional input in the form of a bias is added (w * x + b). The result of this is fed to an activation function. Based on a particular threshold value, only those neurons get activated that crosses the threshold value.
We're thrilled to have been a part of your learning experience, and we hope that you feel confident and prepared to take on new challenges in your field. If you're interested in further expanding your knowledge, check out our course offerings in the description box.
Hi, you got the right answer. Kudos. The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation. The correct order of working for Neural Network with explanation: B. The weighted sum of inputs is calculated A. The Bias is added D. The result is fed to an activation function C. Specific Neuron is activated Explanation: In a neural network, each neuron in one layer is connected to other neurons in the corresponding layers. These connections carry random weights. The weighted sum of the inputs is calculated, and an additional input in the form of a bias is added (w * x + b). The result of this is fed to an activation function. Based on a particular threshold value, only those neurons get activated that crosses the threshold value.
BADC. (B) Each neuron is connected to other neurons and has values associated with them. The weighted sum of inputs is calculated which causes bias (A). The result of this bias is fed to an activation function (D). Specific neurons are activated by the results fed (C).
Hi, you got the right answer. Kudos. The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation. The correct order of working for Neural Network with explanation: B. The weighted sum of inputs is calculated A. The Bias is added D. The result is fed to an activation function C. Specific Neuron is activated Explanation: In a neural network, each neuron in one layer is connected to other neurons in the corresponding layers. These connections carry random weights. The weighted sum of the inputs is calculated, and an additional input in the form of a bias is added (w * x + b). The result of this is fed to an activation function. Based on a particular threshold value, only those neurons get activated that crosses the threshold value.
Thank you so much sir your explanation is excellent & well organized the order of answer is BADC SIR I have one request can you give me this presentation for future reference plzzz
"Hi, you got the right answer. Kudos. The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation. The correct order of working for Neural Network with explanation: B. The weighted sum of inputs is calculated A. The Bias is added D. The result is fed to an activation function C. Specific Neuron is activated Explanation: In a neural network, each neuron in one layer is connected to other neurons in the corresponding layers. These connections carry random weights. The weighted sum of the inputs is calculated, and an additional input in the form of a bias is added (w * x + b). The result of this is fed to an activation function. Based on a particular threshold value, only those neurons get activated that crosses the threshold value. "
The answer is B. The weighted sum of the inputs is calculated A. The bias is added C. Specific neuron is activated D. The result is fed to an activation function
"Hi, you got the right answer. Kudos. The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation. The correct order of working for Neural Network with explanation: B. The weighted sum of inputs is calculated A. The Bias is added D. The result is fed to an activation function C. Specific Neuron is activated Explanation: In a neural network, each neuron in one layer is connected to other neurons in the corresponding layers. These connections carry random weights. The weighted sum of the inputs is calculated, and an additional input in the form of a bias is added (w * x + b). The result of this is fed to an activation function. Based on a particular threshold value, only those neurons get activated that crosses the threshold value. "
"Hi, you got the right answer. Kudos. The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation. The correct order of working for Neural Network with explanation: B. The weighted sum of inputs is calculated A. The Bias is added D. The result is fed to an activation function C. Specific Neuron is activated Explanation: In a neural network, each neuron in one layer is connected to other neurons in the corresponding layers. These connections carry random weights. The weighted sum of the inputs is calculated, and an additional input in the form of a bias is added (w * x + b). The result of this is fed to an activation function. Based on a particular threshold value, only those neurons get activated that crosses the threshold value. "
Hi, you got the right answer. Kudos. The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation. The correct order of working for Neural Network with explanation: B. The weighted sum of inputs is calculated A. The Bias is added D. The result is fed to an activation function C. Specific Neuron is activated Explanation: In a neural network, each neuron in one layer is connected to other neurons in the corresponding layers. These connections carry random weights. The weighted sum of the inputs is calculated, and an additional input in the form of a bias is added (w * x + b). The result of this is fed to an activation function. Based on a particular threshold value, only those neurons get activated that crosses the threshold value.
Hi, you got the right answer. Kudos. The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation. The correct order of working for Neural Network with explanation: B. The weighted sum of inputs is calculated A. The Bias is added D. The result is fed to an activation function C. Specific Neuron is activated Explanation: In a neural network, each neuron in one layer is connected to other neurons in the corresponding layers. These connections carry random weights. The weighted sum of the inputs is calculated, and an additional input in the form of a bias is added (w * x + b). The result of this is fed to an activation function. Based on a particular threshold value, only those neurons get activated that crosses the threshold value.
Absolutely fantastic video! Your clear explanations made complex concepts feel so approachable. Looking forward to more insightful content from your channel :-)
Deep learning is subset of machine learning and machine learning is subset of Artificial intelligence good explanation but i have a doubt (for beginners what should be learn first means first AI or ML or Dl) "Can you say the order for this course to learn "
"Hi, you got the right answer. Kudos. The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation. The correct order of working for Neural Network with explanation: B. The weighted sum of inputs is calculated A. The Bias is added D. The result is fed to an activation function C. Specific Neuron is activated Explanation: In a neural network, each neuron in one layer is connected to other neurons in the corresponding layers. These connections carry random weights. The weighted sum of the inputs is calculated, and an additional input in the form of a bias is added (w * x + b). The result of this is fed to an activation function. Based on a particular threshold value, only those neurons get activated that crosses the threshold value. "
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"Hi Nashwan, you got the right answer. Kudos. The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation. The correct order of working for Neural Network with explanation: B. The weighted sum of inputs is calculated A. The Bias is added D. The result is fed to an activation function C. Specific Neuron is activated Explanation: In a neural network, each neuron in one layer is connected to other neurons in the corresponding layers. These connections carry random weights. The weighted sum of the inputs is calculated, and an additional input in the form of a bias is added (w * x + b). The result of this is fed to an activation function. Based on a particular threshold value, only those neurons get activated that crosses the threshold value. "
1. The bias is added 2. Specific neuron is activated 3. The result is fed to an activation function 4. The weighted sum of the input is calculated So A-C-D-B
"Hi Prasath, we are sorry to say that you got the wrong answer but in any case, the contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation. The correct order of working for Neural Network with explanation: B. The weighted sum of inputs is calculated A. The Bias is added D. The result is fed to an activation function C. Specific Neuron is activated Explanation: In a neural network, each neuron in one layer is connected to other neurons in the corresponding layers. These connections carry random weights. The weighted sum of the inputs is calculated, and an additional input in the form of bias is added (w * x + b). The result of this is fed to an activation function. Based on a particular threshold value, only those neurons get activated that crosses the threshold value. "
"Hi Naveen, we are sorry to say that you got the wrong answer but in any case, the contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation. The correct order of working for Neural Network with explanation: B. The weighted sum of inputs is calculated A. The Bias is added D. The result is fed to an activation function C. Specific Neuron is activated Explanation: In a neural network, each neuron in one layer is connected to other neurons in the corresponding layers. These connections carry random weights. The weighted sum of the inputs is calculated, and an additional input in the form of bias is added (w * x + b). The result of this is fed to an activation function. Based on a particular threshold value, only those neurons get activated that crosses the threshold value. "
The correct order to describe the working of a neural network would be: B: The weighted sum of the inputs is calculated. A: The bias is added. D: The result is fed to an activation function. C: Specific neuron is activated.
Hi, you got the right answer. Kudos. The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation. The correct order of working for Neural Network with explanation: B. The weighted sum of inputs is calculated A. The Bias is added D. The result is fed to an activation function C. Specific Neuron is activated Explanation: In a neural network, each neuron in one layer is connected to other neurons in the corresponding layers. These connections carry random weights. The weighted sum of the inputs is calculated, and an additional input in the form of a bias is added (w * x + b). The result of this is fed to an activation function. Based on a particular threshold value, only those neurons get activated that crosses the threshold value.
Answer: 1.The weighted sum of the inputs is calculated (B) 2.The bias is added (A) 3.The result is fed to an activation function (D) 4.Specific neuron is activated (C)
Hi, you got the right answer. Kudos. The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation. The correct order of working for Neural Network with explanation: B. The weighted sum of inputs is calculated A. The Bias is added D. The result is fed to an activation function C. Specific Neuron is activated Explanation: In a neural network, each neuron in one layer is connected to other neurons in the corresponding layers. These connections carry random weights. The weighted sum of the inputs is calculated, and an additional input in the form of a bias is added (w * x + b). The result of this is fed to an activation function. Based on a particular threshold value, only those neurons get activated that crosses the threshold value.
The working for Neural Network: B. The weighted sum of inputs is calculated A. The Bias is added D. The result is fed to an activation function C. Specific Neuron is activated
Hi, you got the right answer. Kudos. The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation. The correct order of working for Neural Network with explanation: B. The weighted sum of inputs is calculated A. The Bias is added D. The result is fed to an activation function C. Specific Neuron is activated Explanation: In a neural network, each neuron in one layer is connected to other neurons in the corresponding layers. These connections carry random weights. The weighted sum of the inputs is calculated, and an additional input in the form of a bias is added (w * x + b). The result of this is fed to an activation function. Based on a particular threshold value, only those neurons get activated that crosses the threshold value.
"Hi, you got the right answer. Kudos. The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation. The correct order of working for Neural Network with explanation: B. The weighted sum of inputs is calculated A. The Bias is added D. The result is fed to an activation function C. Specific Neuron is activated Explanation: In a neural network, each neuron in one layer is connected to other neurons in the corresponding layers. These connections carry random weights. The weighted sum of the inputs is calculated, and an additional input in the form of a bias is added (w * x + b). The result of this is fed to an activation function. Based on a particular threshold value, only those neurons get activated that crosses the threshold value. "
The Answer in order of correctness is B.A.D.C Answer: B-A-D-C. Thank you very much ! B-A-D-C Very clearly explained. Good Didactic. clear understanding. thanks for the video.
"Hi, you got the right answer. Kudos. The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation. The correct order of working for Neural Network with explanation: B. The weighted sum of inputs is calculated A. The Bias is added D. The result is fed to an activation function C. Specific Neuron is activated Explanation: In a neural network, each neuron in one layer is connected to other neurons in the corresponding layers. These connections carry random weights. The weighted sum of the inputs is calculated, and an additional input in the form of a bias is added (w * x + b). The result of this is fed to an activation function. Based on a particular threshold value, only those neurons get activated that crosses the threshold value. "
"Hi xxx, we are sorry to say that you got the wrong answer but in any case, the contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation. The correct order of working for Neural Network with explanation: B. The weighted sum of inputs is calculated A. The Bias is added D. The result is fed to an activation function C. Specific Neuron is activated Explanation: In a neural network, each neuron in one layer is connected to other neurons in the corresponding layers. These connections carry random weights. The weighted sum of the inputs is calculated, and an additional input in the form of bias is added (w * x + b). The result of this is fed to an activation function. Based on a particular threshold value, only those neurons get activated that crosses the threshold value. "
Hi, you got the right answer. Kudos. The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation. The correct order of working for Neural Network with explanation: B. The weighted sum of inputs is calculated A. The Bias is added D. The result is fed to an activation function C. Specific Neuron is activated Explanation: In a neural network, each neuron in one layer is connected to other neurons in the corresponding layers. These connections carry random weights. The weighted sum of the inputs is calculated, and an additional input in the form of a bias is added (w * x + b). The result of this is fed to an activation function. Based on a particular threshold value, only those neurons get activated that crosses the threshold value.
I had a revelation less than 48 hours ago and now I know how to make AGI. I am currently finishing a paper that explains everything and provides an illustration of the model....I need help though because I don't know code language just yet. After i finish my paper in the next few days I'm going to start recruiting coders by asking podcasters to have me on their shows so i can talk about everything and ask for help
Quiz answer A Neural Network is working in the following sequence. B. The weighted sum of inputs is calculated A. The Bias is added D. The result is fed to an activation function C. Specific Neuron is activated
"Hi Shams, you got the right answer. Kudos. The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation. The correct order of working for Neural Network with explanation: B. The weighted sum of inputs is calculated A. The Bias is added D. The result is fed to an activation function C. Specific Neuron is activated Explanation: In a neural network, each neuron in one layer is connected to other neurons in the corresponding layers. These connections carry random weights. The weighted sum of the inputs is calculated, and an additional input in the form of a bias is added (w * x + b). The result of this is fed to an activation function. Based on a particular threshold value, only those neurons get activated that crosses the threshold value. "
The order of the neural network is as follows: B. the weighted sum of inputs is calculated A. the bias is added D. the result is fed to an activation function C. specific neuron is activated
Hi, you got the right answer. Kudos. The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation. The correct order of working for Neural Network with explanation: B. The weighted sum of inputs is calculated A. The Bias is added D. The result is fed to an activation function C. Specific Neuron is activated Explanation: In a neural network, each neuron in one layer is connected to other neurons in the corresponding layers. These connections carry random weights. The weighted sum of the inputs is calculated, and an additional input in the form of a bias is added (w * x + b). The result of this is fed to an activation function. Based on a particular threshold value, only those neurons get activated that crosses the threshold value.
"Hi, you got the right answer. Kudos. The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation. The correct order of working for Neural Network with explanation: B. The weighted sum of inputs is calculated A. The Bias is added D. The result is fed to an activation function C. Specific Neuron is activated Explanation: In a neural network, each neuron in one layer is connected to other neurons in the corresponding layers. These connections carry random weights. The weighted sum of the inputs is calculated, and an additional input in the form of a bias is added (w * x + b). The result of this is fed to an activation function. Based on a particular threshold value, only those neurons get activated that crosses the threshold value. "
The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation. The correct order of working for Neural Network with explanation: B. The weighted sum of inputs is calculated A. The Bias is added D. The result is fed to an activation function C. Specific Neuron is activated Explanation: In a neural network, each neuron in one layer is connected to other neurons in the corresponding layers. These connections carry random weights. The weighted sum of the inputs is calculated, and an additional input in the form of a bias is added (w * x + b). The result of this is fed to an activation function. Based on a particular threshold value, only those neurons get activated that crosses the threshold value. "
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the sequence is B )The weighted sum of inputs is calculated A)The bias is Added D)The result is fed to activation function C) Specific neuron is activated
"Hi, you got the right answer. Kudos. The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation. The correct order of working for Neural Network with explanation: B. The weighted sum of inputs is calculated A. The Bias is added D. The result is fed to an activation function C. Specific Neuron is activated Explanation: In a neural network, each neuron in one layer is connected to other neurons in the corresponding layers. These connections carry random weights. The weighted sum of the inputs is calculated, and an additional input in the form of a bias is added (w * x + b). The result of this is fed to an activation function. Based on a particular threshold value, only those neurons get activated that crosses the threshold value. "
Hi, you got the right answer. Kudos. The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation. The correct order of working for Neural Network with explanation: B. The weighted sum of inputs is calculated A. The Bias is added D. The result is fed to an activation function C. Specific Neuron is activated Explanation: In a neural network, each neuron in one layer is connected to other neurons in the corresponding layers. These connections carry random weights. The weighted sum of the inputs is calculated, and an additional input in the form of a bias is added (w * x + b). The result of this is fed to an activation function. Based on a particular threshold value, only those neurons get activated that crosses the threshold value.
Hey Johnson, thank you for appreciating our work. We are glad to have helped. Do check out our other tutorial videos and subscribe to us to stay connected. Cheers :)
"Hi, you got the right answer. Kudos. The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation. The correct order of working for Neural Network with explanation: B. The weighted sum of inputs is calculated A. The Bias is added D. The result is fed to an activation function C. Specific Neuron is activated Explanation: In a neural network, each neuron in one layer is connected to other neurons in the corresponding layers. These connections carry random weights. The weighted sum of the inputs is calculated, and an additional input in the form of a bias is added (w * x + b). The result of this is fed to an activation function. Based on a particular threshold value, only those neurons get activated that crosses the threshold value. "
Hi, do think and finalize your answer! We will give out the answer to the quiz next Wednesday, 12th June 2019. If your answer is right, you could be one of the 3 lucky winners to grab Rs 500 or 10$ worth Amazon voucher. Stay Tuned!
Hi, you almost got the right answer and the option 'C' comes last. The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation. The correct order of working for Neural Network with explanation: B. The weighted sum of inputs is calculated A. The Bias is added D. The result is fed to an activation function C. Specific Neuron is activated Explanation: In a neural network, each neuron in one layer is connected to other neurons in the corresponding layers. These connections carry random weights. The weighted sum of the inputs is calculated, and an additional input in the form of a bias is added (w * x + b). The result of this is fed to an activation function. Based on a particular threshold value, only those neurons get activated that crosses the threshold value.
Hey Elavarasan, thank you for appreciating our work. We are glad to have helped. Do check out our other tutorial videos and subscribe to us to stay connected. Cheers :)
under the line all 4i just been thinking is the sum of inputs just calculated before activation of neurons AND recalculated before presenting the result the match the summe before and after. Like Humans would before handing over there Examens...
My answer to the quiz: B. The weighted sum of the inputs is calculated A. The bias is added D. The result is fed to an activation function C. Specific neuron is activated
Hi, you got the right answer. Kudos. The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation. The correct order of working for Neural Network with explanation: B. The weighted sum of inputs is calculated A. The Bias is added D. The result is fed to an activation function C. Specific Neuron is activated Explanation: In a neural network, each neuron in one layer is connected to other neurons in the corresponding layers. These connections carry random weights. The weighted sum of the inputs is calculated, and an additional input in the form of a bias is added (w * x + b). The result of this is fed to an activation function. Based on a particular threshold value, only those neurons get activated that crosses the threshold value.
"Hi, you got the right answer. Kudos. The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation. The correct order of working for Neural Network with explanation: B. The weighted sum of inputs is calculated A. The Bias is added D. The result is fed to an activation function C. Specific Neuron is activated Explanation: In a neural network, each neuron in one layer is connected to other neurons in the corresponding layers. These connections carry random weights. The weighted sum of the inputs is calculated, and an additional input in the form of a bias is added (w * x + b). The result of this is fed to an activation function. Based on a particular threshold value, only those neurons get activated that crosses the threshold value. "
The answer ro the quiz question is as follows: B: The weighted sum of the inputs is calculated A: The bias is added D: The result is fed to an activation function C: Specific neuron activated
Hi, you got the right answer. Kudos. The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation. The correct order of working for Neural Network with explanation: B. The weighted sum of inputs is calculated A. The Bias is added D. The result is fed to an activation function C. Specific Neuron is activated Explanation: In a neural network, each neuron in one layer is connected to other neurons in the corresponding layers. These connections carry random weights. The weighted sum of the inputs is calculated, and an additional input in the form of a bias is added (w * x + b). The result of this is fed to an activation function. Based on a particular threshold value, only those neurons get activated that crosses the threshold value.
My answer for the quize is: B. Weighted sum of inputs is calculated A. Bias is added D. The result is fed to activation function. C. Specific neuron is activated
Hi Chen-Hung, you got the right answer. Kudos. The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation. The correct order of working for Neural Network with explanation: B. The weighted sum of inputs is calculated A. The Bias is added D. The result is fed to an activation function C. Specific Neuron is activated Explanation: In a neural network, each neuron in one layer is connected to other neurons in the corresponding layers. These connections carry random weights. The weighted sum of the inputs is calculated, and an additional input in the form of a bias is added (w * x + b). The result of this is fed to an activation function. Based on a particular threshold value, only those neurons get activated that crosses the threshold value.
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Hi everyone, exactly a week ago, we conducted a contest in this video. The answer to the question is given below:
The correct order of working for Neural Network with explanation:
B. The weighted sum of inputs is calculated
A. The Bias is added
D. The result is fed to an activation function
C. Specific Neuron is activated
Explanation: In a neural network, each neuron in one layer is connected to other neurons in the corresponding layers. These connections carry random weights. The weighted sum of the inputs is calculated, and an additional input in the form of bias is added (w * x + b). The result of this is fed to an activation function. Based on a particular threshold value, only those neurons get activated that crosses the threshold value.
We are pleased to announce the 3 lucky winners who got the right answer for our quiz:
1. Divya Maskar
2. Kartik Singhal
3. Michael Ipinolu
Congratulations to all the winners! They've won an Amazon voucher worth INR 500.
The answer of quiz is in the following order:-
B- The weighted sum of the inputs is calculated
A- The bias is added
D- The result is fed to an activation function
C- Specific neuron is activated
This correct order of the above question's answer.
The Answer is :- BADC
Hi Himanshu, thanks for your reply! We will give out the answer to the quiz next Wednesday, 12th June 2019. If your answer is right, you could be one of the 3 lucky winners to grab Rs 500 or 10$ worth Amazon voucher. Stay Tuned!
Hi Kartik, thanks for your reply! We will give out the answer to the quiz next Wednesday, 12th June 2019. If your answer is right, you could be one of the 3 lucky winners to grab Rs 500 or 10$ worth Amazon voucher. Stay Tuned!
B,A,D,C
B. The weighted sum of inputs is calculated
A. The Bias is added
D. The result is fed to an activation function
C. Specific Neuron is activated
"Hi, you got the right answer. Kudos.
The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation.
The correct order of working for Neural Network with explanation:
B. The weighted sum of inputs is calculated
A. The Bias is added
D. The result is fed to an activation function
C. Specific Neuron is activated
Explanation: In a neural network, each neuron in one layer is connected to other neurons in the corresponding layers. These connections carry random weights. The weighted sum of the inputs is calculated, and an additional input in the form of a bias is added (w * x + b). The result of this is fed to an activation function. Based on a particular threshold value, only those neurons get activated that crosses the threshold value.
"
Order: BADC
Working of a neural network:
- The weighted sum of the input is calculated
- The bias is added
- The result is fet to an activation function
- Specific neuron is activated
Nice video! It helped me to learn deep learning in 5 minutes
"Hi, you got the right answer. Kudos.
The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation.
The correct order of working for Neural Network with explanation:
B. The weighted sum of inputs is calculated
A. The Bias is added
D. The result is fed to an activation function
C. Specific Neuron is activated
Explanation: In a neural network, each neuron in one layer is connected to other neurons in the corresponding layers. These connections carry random weights. The weighted sum of the inputs is calculated, and an additional input in the form of a bias is added (w * x + b). The result of this is fed to an activation function. Based on a particular threshold value, only those neurons get activated that crosses the threshold value.
"
The order for the neutral network would be B→ A→D→ C. B is first because each neuron had values to it, called a weighted channel, and all these neurons have a unique number associated with it, called bias. Bias is then added to the weighted sum of inputs, meaning A comes after B. D then follows because that result is fed to an activation function. Out of the results fed, specific neurons are activated.
Hi, you got the right answer. Kudos.
The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation.
The correct order of working for Neural Network with explanation:
B. The weighted sum of inputs is calculated
A. The Bias is added
D. The result is fed to an activation function
C. Specific Neuron is activated
Explanation: In a neural network, each neuron in one layer is connected to other neurons in the corresponding layers. These connections carry random weights. The weighted sum of the inputs is calculated, and an additional input in the form of a bias is added (w * x + b). The result of this is fed to an activation function. Based on a particular threshold value, only those neurons get activated that crosses the threshold value.
Answer: B-A-D-C. Thank you very much !
"Hi, you got the right answer. Kudos.
The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation.
The correct order of working for Neural Network with explanation:
B. The weighted sum of inputs is calculated
A. The Bias is added
D. The result is fed to an activation function
C. Specific Neuron is activated
Explanation: In a neural network, each neuron in one layer is connected to other neurons in the corresponding layers. These connections carry random weights. The weighted sum of the inputs is calculated, and an additional input in the form of a bias is added (w * x + b). The result of this is fed to an activation function. Based on a particular threshold value, only those neurons get activated that crosses the threshold value.
"
@@SimplilearnOfficial I know this is an old video but can you please explain what the * stands for in w*x? Also what exactly is a weighted sum? Can you explain with an example please?
Thank you.
The * in w*x represents multiplication of weights with inputs. When you take the product of weights and inputs and sum it, it is known as weighted sum of inputs. This result is added with a bias and passed to an activation function to decide which nodes to fire.
thank you for saving me from my presentation of the English of science and technology course. really appreciated!!!!!!!
Happy to help!
1. The weighted sum of input is calculated.
2. The bias is added.
3.The result is fed to and activation function.
4.Specific neuron is activated.
It is a good video to differentiate between machine and deep learning.
Thanks ..
Hi Kashyap, thanks for your reply! We will give out the answer to the quiz next Wednesday, 12th June 2019. If your answer is right, you could be one of the 3 lucky winners to grab Rs 500 or 10$ worth Amazon voucher. Stay Tuned!
Hi Kashyap, you got the right answer. Kudos.
The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation.
The correct order of working for Neural Network with explanation:
B. The weighted sum of inputs is calculated
A. The Bias is added
D. The result is fed to an activation function
C. Specific Neuron is activated
Explanation: In a neural network, each neuron in one layer is connected to other neurons in the corresponding layers. These connections carry random weights. The weighted sum of the inputs is calculated, and an additional input in the form of a bias is added (w * x + b). The result of this is fed to an activation function. Based on a particular threshold value, only those neurons get activated that crosses the threshold value.
Answer: B-A-D-C. Thank you very much !
Scrolling through the comment section feels like watching an AI learning to comment on a video.
"Hi, you got the right answer. Kudos.
The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation.
The correct order of working for Neural Network with explanation:
B. The weighted sum of inputs is calculated
A. The Bias is added
D. The result is fed to an activation function
C. Specific Neuron is activated
Explanation: In a neural network, each neuron in one layer is connected to other neurons in the corresponding layers. These connections carry random weights. The weighted sum of the inputs is calculated, and an additional input in the form of a bias is added (w * x + b). The result of this is fed to an activation function. Based on a particular threshold value, only those neurons get activated that crosses the threshold value.
"
Quiz sequence is:
B. Weighted sum of inputs is calculated
A. Bias is added
D. The result is fed to activation function.
C. Specific neuron is activated
Hi Sandeep, thanks for your reply! We will give out the answer to the quiz next Wednesday, 12th June 2019. If your answer is right, you could be one of the 3 lucky winners to grab Rs 500 or 10$ worth Amazon voucher. Stay Tuned!
"Hi Sandeep, you got the right answer. Kudos.
The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation.
The correct order of working for Neural Network with explanation:
B. The weighted sum of inputs is calculated
A. The Bias is added
D. The result is fed to an activation function
C. Specific Neuron is activated
Explanation: In a neural network, each neuron in one layer is connected to other neurons in the corresponding layers. These connections carry random weights. The weighted sum of the inputs is calculated, and an additional input in the form of a bias is added (w * x + b). The result of this is fed to an activation function. Based on a particular threshold value, only those neurons get activated that crosses the threshold value.
"
Sir Your videos is very knowledge full and factfull
Hey, thank you for appreciating our work. We are glad to have helped. Do check out our other tutorial videos and subscribe to us to stay connected. Cheers :)
Thanks for the crisp explanation, i understood it completely. Alas , i don't think my current laptop meets the requirements for such heavy work.
Thank you for the appreciation. You can check our videos related to various technologies and subscribe to our channel to stay updated with all the trending technologies.
Do you know what is the minimum required for this kind of work on computer ?
i'm interested in ai, i am happy to find this vidio. After watching the video on deep learning, I was truly amazed by the capabilities of this technology. Deep learning involves training neural networks with multiple layers to process and understand complex data. It's fascinating how these networks can learn from vast amounts of data and make accurate predictions.
One thing that struck me was the concept of feature extraction. Deep learning models can automatically learn relevant features from the data.
The answer is C. Thanks for the video it makes some much sense now. :)
"Hi Betty, we are sorry to say that you got the wrong answer but in any case, the contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation.
The correct answer to the quiz is Option B.
Explanation:
In a neural network, the error in the model is always calculated after finding the predicted output, i.e., at the output layer of the network.This predicted output is compared with the actual output of the model. The backpropagation algorithm is performed on the network, and the weights are optimized to reduce the error in the model. This process is repeated multiple times to get the final output, which has the least minimum error.
"
BADC
lmfao
Lmao
First take the input signal from input layer then sum of weight then added of bias to sum of weighted then these output taken by activation function( like sigmoid (1/e^-v)) as a input then activation function generates the output on output layer according to that input signal then according to the output action will be performed by specific neurons activated . So that B-C-A-D
The correct order of working for Neural Network with explanation:
B. The weighted sum of inputs is calculated
A. The Bias is added
D. The result is fed to an activation function
C. Specific Neuron is activated
Explanation: In a neural network, each neuron in one layer is connected to other neurons in the corresponding layers. These connections carry random weights. The weighted sum of the inputs is calculated, and an additional input in the form of bias is added (w * x + b). The result of this is fed to an activation function. Based on a particular threshold value, only those neurons get activated that crosses the threshold value.
The competition is now over, though. Thank you for watching and participating!
B)Weighted Sum of inputs is calculated
A)Bias is added
D)Result is fed into activation function
C)Specific Neuron is activated
"Hi, you got the right answer. Kudos.
The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation.
The correct order of working for Neural Network with explanation:
B. The weighted sum of inputs is calculated
A. The Bias is added
D. The result is fed to an activation function
C. Specific Neuron is activated
Explanation: In a neural network, each neuron in one layer is connected to other neurons in the corresponding layers. These connections carry random weights. The weighted sum of the inputs is calculated, and an additional input in the form of a bias is added (w * x + b). The result of this is fed to an activation function. Based on a particular threshold value, only those neurons get activated that crosses the threshold value.
"
the answer is B-A-D-C coz first the weights are calculated and the bias is added then this are given as inputs to activation record and specific neurons are activated : )
"Hi, you got the right answer. Kudos.
The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation.
The correct order of working for Neural Network with explanation:
B. The weighted sum of inputs is calculated
A. The Bias is added
D. The result is fed to an activation function
C. Specific Neuron is activated
Explanation: In a neural network, each neuron in one layer is connected to other neurons in the corresponding layers. These connections carry random weights. The weighted sum of the inputs is calculated, and an additional input in the form of a bias is added (w * x + b). The result of this is fed to an activation function. Based on a particular threshold value, only those neurons get activated that crosses the threshold value.
"
B-A-D-C
The Answer in order of correctness is B.A.D.C
Answer: B-A-D-C. Thank you very much !
Scrolling through the comment section feels like watching an AI learning to comment on a video.
"Hi, you got the right answer. Kudos.
The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation.
The correct order of working for Neural Network with explanation:
B. The weighted sum of inputs is calculated
A. The Bias is added
D. The result is fed to an activation function
C. Specific Neuron is activated
Explanation: In a neural network, each neuron in one layer is connected to other neurons in the corresponding layers. These connections carry random weights. The weighted sum of the inputs is calculated, and an additional input in the form of a bias is added (w * x + b). The result of this is fed to an activation function. Based on a particular threshold value, only those neurons get activated that crosses the threshold value.
"
B- the weighted sum of the inputs is calculated
A- the bias is added
D- result is fed to an activation function
C- specific neuron is activated
Hi, you got the right answer. Kudos.
The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation.
The correct order of working for Neural Network with explanation:
B. The weighted sum of inputs is calculated
A. The Bias is added
D. The result is fed to an activation function
C. Specific Neuron is activated
Explanation: In a neural network, each neuron in one layer is connected to other neurons in the corresponding layers. These connections carry random weights. The weighted sum of the inputs is calculated, and an additional input in the form of a bias is added (w * x + b). The result of this is fed to an activation function. Based on a particular threshold value, only those neurons get activated that crosses the threshold value.
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B. The weighted sum of the inout is calculated
"Hi, you got the right answer. Kudos.
The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation.
The correct order of working for Neural Network with explanation:
B. The weighted sum of inputs is calculated
A. The Bias is added
D. The result is fed to an activation function
C. Specific Neuron is activated
Explanation: In a neural network, each neuron in one layer is connected to other neurons in the corresponding layers. These connections carry random weights. The weighted sum of the inputs is calculated, and an additional input in the form of a bias is added (w * x + b). The result of this is fed to an activation function. Based on a particular threshold value, only those neurons get activated that crosses the threshold value.
"
First, Option B - The weighted sum of the inputs is calculated. Second, Option A - the bias is added. Third, Option D - the result is fed to an activation function. Lastly, Option C - specific neuron is activated.
"Hi, you got the right answer. Kudos.
The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation.
The correct order of working for Neural Network with explanation:
B. The weighted sum of inputs is calculated
A. The Bias is added
D. The result is fed to an activation function
C. Specific Neuron is activated
Explanation: In a neural network, each neuron in one layer is connected to other neurons in the corresponding layers. These connections carry random weights. The weighted sum of the inputs is calculated, and an additional input in the form of a bias is added (w * x + b). The result of this is fed to an activation function. Based on a particular threshold value, only those neurons get activated that crosses the threshold value.
"
The working sequence of a neural network: B, A, D, C
"Hi, you got the right answer. Kudos.
The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation.
The correct order of working for Neural Network with explanation:
B. The weighted sum of inputs is calculated
A. The Bias is added
D. The result is fed to an activation function
C. Specific Neuron is activated
Explanation: In a neural network, each neuron in one layer is connected to other neurons in the corresponding layers. These connections carry random weights. The weighted sum of the inputs is calculated, and an additional input in the form of a bias is added (w * x + b). The result of this is fed to an activation function. Based on a particular threshold value, only those neurons get activated that crosses the threshold value.
"
"they don't even realize it's a bot on the other side" 🤣 yeah right
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😂😂😂
1.The weight and some of the input is calculated
2.theBias is added
3.The result is fed to an activation
4.The specific neuron is activated
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Still none the wiser, I'm off down the pub, that I understand.
Well, thanks for watching our video anyways. We have given the proper answer with explanation for the quiz below. Thanks.
The correct order of working for Neural Network with explanation:
B. The weighted sum of inputs is calculated
A. The Bias is added
D. The result is fed to an activation function
C. Specific Neuron is activated
Explanation: In a neural network, each neuron in one layer is connected to other neurons in the corresponding layers. These connections carry random weights. The weighted sum of the inputs is calculated, and an additional input in the form of a bias is added (w * x + b). The result of this is fed to an activation function. Based on a particular threshold value, only those neurons get activated that crosses the threshold value.
"
Thank you so much!!! 👏
We're thrilled to have been a part of your learning experience, and we hope that you feel confident and prepared to take on new challenges in your field. If you're interested in further expanding your knowledge, check out our course offerings in the description box.
"Learning" implies "Understanding" among people. What we call Deep Learning is a misnomer. It ought to be called Deep Sorting. And Deep Matching for convolutional Neural Networks.
Context adds meaning to a behavior.
Thanks for watching our video and sharing your thoughts. Do subscribe to our channel and stay tuned for more. Cheers!
1-specific neuron is actived
2-the bias is added
3-the weighted sum of the input is calculated
4-the result is fed to an activation function
"Hi , we are sorry to say that you got the wrong answer but in any case, the contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation.
The correct order of working for Neural Network with explanation:
B. The weighted sum of inputs is calculated
A. The Bias is added
D. The result is fed to an activation function
C. Specific Neuron is activated
Explanation: In a neural network, each neuron in one layer is connected to other neurons in the corresponding layers. These connections carry random weights. The weighted sum of the inputs is calculated, and an additional input in the form of bias is added (w * x + b). The result of this is fed to an activation function. Based on a particular threshold value, only those neurons get activated that crosses the threshold value.
"
The answer to the question is in following sequence is :
C
B
A
D
Hi Nayan, thanks for your reply! We will give out the answer to the quiz next Wednesday, 12th June 2019. If your answer is right, you could be one of the 3 lucky winners to grab Rs 500 or 10$ worth Amazon voucher. Stay Tuned!
Hi Nayan, we are sorry to say that you got the wrong answer but in any case, the contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation.
The correct order of working for Neural Network with explanation:
B. The weighted sum of inputs is calculated
A. The Bias is added
D. The result is fed to an activation function
C. Specific Neuron is activated
Explanation: In a neural network, each neuron in one layer is connected to other neurons in the corresponding layers. These connections carry random weights. The weighted sum of the inputs is calculated, and an additional input in the form of bias is added (w * x + b). The result of this is fed to an activation function. Based on a particular threshold value, only those neurons get activated that crosses the threshold value.
Looking at the replies from others, it itself would teach you deep learning. Please read the choice people have opted for in the answers.
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It is b. the weighted sum of input is calculated, then a.the bias is added, then c.the specific neuron is added, and lastly d.the result is feed to an activation function
Sorry, that's the wrong answer.
The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation.
The correct order of working for Neural Network with explanation:
B. The weighted sum of inputs is calculated
A. The Bias is added
D. The result is fed to an activation function
C. Specific Neuron is activated
Explanation: In a neural network, each neuron in one layer is connected to other neurons in the corresponding layers. These connections carry random weights. The weighted sum of the inputs is calculated, and an additional input in the form of a bias is added (w * x + b). The result of this is fed to an activation function. Based on a particular threshold value, only those neurons get activated that crosses the threshold value.
How many of you go back to find the answer of quiz 🙃
Of course, the people who are interested.
The answer is
B. The weighted sum of inputs is calculated
A. The Bias is added.
D. The result is fed to an activation function.
C. Specific Neuron is activated.
"Hi, you got the right answer. Kudos.
The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation.
The correct order of working for Neural Network with explanation:
B. The weighted sum of inputs is calculated
A. The Bias is added
D. The result is fed to an activation function
C. Specific Neuron is activated
Explanation: In a neural network, each neuron in one layer is connected to other neurons in the corresponding layers. These connections carry random weights. The weighted sum of the inputs is calculated, and an additional input in the form of a bias is added (w * x + b). The result of this is fed to an activation function. Based on a particular threshold value, only those neurons get activated that crosses the threshold value.
"
B-A-D-C
Hi Pooja, thanks for your reply! We will give out the answer to the quiz next Wednesday, 12th June 2019. If your answer is right, you could be one of the 3 lucky winners to grab Rs 500 or 10$ worth Amazon voucher. Stay Tuned!
Hi Pooja, you got the right answer. Kudos.
The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation.
The correct order of working for Neural Network with explanation:
B. The weighted sum of inputs is calculated
A. The Bias is added
D. The result is fed to an activation function
C. Specific Neuron is activated
Explanation: In a neural network, each neuron in one layer is connected to other neurons in the corresponding layers. These connections carry random weights. The weighted sum of the inputs is calculated, and an additional input in the form of a bias is added (w * x + b). The result of this is fed to an activation function. Based on a particular threshold value, only those neurons get activated that crosses the threshold value.
B. The weighted sum of input is calculated
The correct order of working for Neural Network with explanation:
B. The weighted sum of inputs is calculated
A. The Bias is added
D. The result is fed to an activation function
C. Specific Neuron is activated
Explanation: In a neural network, each neuron in one layer is connected to other neurons in the corresponding layers. These connections carry random weights. The weighted sum of the inputs is calculated, and an additional input in the form of a bias is added (w * x + b). The result of this is fed to an activation function. Based on a particular threshold value, only those neurons get activated that crosses the threshold value.
Good info!!!
We're thrilled to have been a part of your learning experience, and we hope that you feel confident and prepared to take on new challenges in your field. If you're interested in further expanding your knowledge, check out our course offerings in the description box.
Thank you for the response and providing correct answer. it's enlightening. Keep up.
We are so grateful for your kind words. Also, subscribe to our channel and stay tuned for more videos. Cheers!
Thanks 😊.
You're welcome!
1.The weighted sum of the inputs is calculated
2.The bias is added
3. The result is fed to an activation function
4. Specific neuron is activated
Hi, you got the right answer. Kudos.
The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation.
The correct order of working for Neural Network with explanation:
B. The weighted sum of inputs is calculated
A. The Bias is added
D. The result is fed to an activation function
C. Specific Neuron is activated
Explanation: In a neural network, each neuron in one layer is connected to other neurons in the corresponding layers. These connections carry random weights. The weighted sum of the inputs is calculated, and an additional input in the form of a bias is added (w * x + b). The result of this is fed to an activation function. Based on a particular threshold value, only those neurons get activated that crosses the threshold value.
BADC. (B) Each neuron is connected to other neurons and has values associated with them. The weighted sum of inputs is calculated which causes bias (A). The result of this bias is fed to an activation function (D). Specific neurons are activated by the results fed (C).
Hi, you got the right answer. Kudos.
The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation.
The correct order of working for Neural Network with explanation:
B. The weighted sum of inputs is calculated
A. The Bias is added
D. The result is fed to an activation function
C. Specific Neuron is activated
Explanation: In a neural network, each neuron in one layer is connected to other neurons in the corresponding layers. These connections carry random weights. The weighted sum of the inputs is calculated, and an additional input in the form of a bias is added (w * x + b). The result of this is fed to an activation function. Based on a particular threshold value, only those neurons get activated that crosses the threshold value.
Thank you so much sir your explanation is excellent & well organized the order of answer is BADC
SIR I have one request can you give me this presentation for future reference plzzz
"Hi, you got the right answer. Kudos.
The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation.
The correct order of working for Neural Network with explanation:
B. The weighted sum of inputs is calculated
A. The Bias is added
D. The result is fed to an activation function
C. Specific Neuron is activated
Explanation: In a neural network, each neuron in one layer is connected to other neurons in the corresponding layers. These connections carry random weights. The weighted sum of the inputs is calculated, and an additional input in the form of a bias is added (w * x + b). The result of this is fed to an activation function. Based on a particular threshold value, only those neurons get activated that crosses the threshold value.
"
thank you so much simplilearn
You're welcome!
The answer is B. The weighted sum of the inputs is calculated
A. The bias is added
C. Specific neuron is activated
D. The result is fed to an activation function
"Hi, you got the right answer. Kudos.
The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation.
The correct order of working for Neural Network with explanation:
B. The weighted sum of inputs is calculated
A. The Bias is added
D. The result is fed to an activation function
C. Specific Neuron is activated
Explanation: In a neural network, each neuron in one layer is connected to other neurons in the corresponding layers. These connections carry random weights. The weighted sum of the inputs is calculated, and an additional input in the form of a bias is added (w * x + b). The result of this is fed to an activation function. Based on a particular threshold value, only those neurons get activated that crosses the threshold value.
"
hey! yall helped me alot fr my computer exam, thnx^^
Our pleasure!
B. The weighted sum of inputs is calculated
A. The Bias is added
D. The result is fed to an activation function
C. Specific Neuron is activated
all options is right
thanks for you it is best explanation about deep learning
B-A-D-C
"Hi, you got the right answer. Kudos.
The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation.
The correct order of working for Neural Network with explanation:
B. The weighted sum of inputs is calculated
A. The Bias is added
D. The result is fed to an activation function
C. Specific Neuron is activated
Explanation: In a neural network, each neuron in one layer is connected to other neurons in the corresponding layers. These connections carry random weights. The weighted sum of the inputs is calculated, and an additional input in the form of a bias is added (w * x + b). The result of this is fed to an activation function. Based on a particular threshold value, only those neurons get activated that crosses the threshold value.
"
The order of the statements to describe the working of a neural network is B, A, D, C
Hi, you got the right answer. Kudos.
The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation.
The correct order of working for Neural Network with explanation:
B. The weighted sum of inputs is calculated
A. The Bias is added
D. The result is fed to an activation function
C. Specific Neuron is activated
Explanation: In a neural network, each neuron in one layer is connected to other neurons in the corresponding layers. These connections carry random weights. The weighted sum of the inputs is calculated, and an additional input in the form of a bias is added (w * x + b). The result of this is fed to an activation function. Based on a particular threshold value, only those neurons get activated that crosses the threshold value.
v good explained
Thanks and welcome!
1) The weight and some of the input is calculated
2) The bias is added
3) The result is fed into an activation
4) The specific neuron is activated
Hi, you got the right answer. Kudos.
The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation.
The correct order of working for Neural Network with explanation:
B. The weighted sum of inputs is calculated
A. The Bias is added
D. The result is fed to an activation function
C. Specific Neuron is activated
Explanation: In a neural network, each neuron in one layer is connected to other neurons in the corresponding layers. These connections carry random weights. The weighted sum of the inputs is calculated, and an additional input in the form of a bias is added (w * x + b). The result of this is fed to an activation function. Based on a particular threshold value, only those neurons get activated that crosses the threshold value.
Absolutely fantastic video! Your clear explanations made complex concepts feel so approachable. Looking forward to more insightful content from your channel :-)
"This tutorial provided a clear and concise introduction to deep learning. The explanations were easy to follow, even for beginners."
The Best Video✌️✌️
Glad you enjoyed our video! We have a ton more videos like this on our channel. We hope you will join our community!
Wow what an interesting video answer of the video is BADC
You got it correct. kudos!
thanks for the lesson. just turn off the music in the background and you`re good
Deep learning is subset of machine learning and machine learning is subset of Artificial intelligence good explanation but i have a doubt (for beginners what should be learn first means first AI or ML or Dl)
"Can you say the order for this course to learn "
If you have programming knowledge, you can start with Machine Learning.
wow rly great video m looking forward to know about deep matric learning pls do consider
Thanks for watching our video. To know more about deep learning, check out our playlist: ruclips.net/video/6M5VXKLf4D4/видео.html
This was soo cool and interesting to learn, I got to know all bout networking now,
B
A
D
C
This is the order of the correct answer
"Hi, you got the right answer. Kudos.
The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation.
The correct order of working for Neural Network with explanation:
B. The weighted sum of inputs is calculated
A. The Bias is added
D. The result is fed to an activation function
C. Specific Neuron is activated
Explanation: In a neural network, each neuron in one layer is connected to other neurons in the corresponding layers. These connections carry random weights. The weighted sum of the inputs is calculated, and an additional input in the form of a bias is added (w * x + b). The result of this is fed to an activation function. Based on a particular threshold value, only those neurons get activated that crosses the threshold value.
"
Wow it's a good video
Thanks! 😃
Very informative and useful
Glad you think so! Thank you for watching!
C)The Specific Neuron is added
B) The Bias is added
A)The weighted sum of input is calculated
D)The Result is Feed to an Activation Function
Debleena Sinha India thanks for sharing informative video Grateful Thankyou to RUclips management staff and employees for loved ones
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all options is right
thanks for you it is best explanation about deep learning
"Hi Nashwan, you got the right answer. Kudos.
The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation.
The correct order of working for Neural Network with explanation:
B. The weighted sum of inputs is calculated
A. The Bias is added
D. The result is fed to an activation function
C. Specific Neuron is activated
Explanation: In a neural network, each neuron in one layer is connected to other neurons in the corresponding layers. These connections carry random weights. The weighted sum of the inputs is calculated, and an additional input in the form of a bias is added (w * x + b). The result of this is fed to an activation function. Based on a particular threshold value, only those neurons get activated that crosses the threshold value.
"
1. The bias is added
2. Specific neuron is activated
3. The result is fed to an activation function
4. The weighted sum of the input is calculated
So A-C-D-B
"Hi Prasath, we are sorry to say that you got the wrong answer but in any case, the contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation.
The correct order of working for Neural Network with explanation:
B. The weighted sum of inputs is calculated
A. The Bias is added
D. The result is fed to an activation function
C. Specific Neuron is activated
Explanation: In a neural network, each neuron in one layer is connected to other neurons in the corresponding layers. These connections carry random weights. The weighted sum of the inputs is calculated, and an additional input in the form of bias is added (w * x + b). The result of this is fed to an activation function. Based on a particular threshold value, only those neurons get activated that crosses the threshold value.
"
B, D, C, A is correct sequence
"Hi Naveen, we are sorry to say that you got the wrong answer but in any case, the contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation.
The correct order of working for Neural Network with explanation:
B. The weighted sum of inputs is calculated
A. The Bias is added
D. The result is fed to an activation function
C. Specific Neuron is activated
Explanation: In a neural network, each neuron in one layer is connected to other neurons in the corresponding layers. These connections carry random weights. The weighted sum of the inputs is calculated, and an additional input in the form of bias is added (w * x + b). The result of this is fed to an activation function. Based on a particular threshold value, only those neurons get activated that crosses the threshold value.
"
Answered many questions for me. Thank you!
Glad it was helpful!
The correct order to describe the working of a neural network would be:
B: The weighted sum of the inputs is calculated.
A: The bias is added.
D: The result is fed to an activation function.
C: Specific neuron is activated.
Hi, you got the right answer. Kudos.
The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation.
The correct order of working for Neural Network with explanation:
B. The weighted sum of inputs is calculated
A. The Bias is added
D. The result is fed to an activation function
C. Specific Neuron is activated
Explanation: In a neural network, each neuron in one layer is connected to other neurons in the corresponding layers. These connections carry random weights. The weighted sum of the inputs is calculated, and an additional input in the form of a bias is added (w * x + b). The result of this is fed to an activation function. Based on a particular threshold value, only those neurons get activated that crosses the threshold value.
Answer:
1.The weighted sum of the inputs is calculated (B)
2.The bias is added (A)
3.The result is fed to an activation function (D)
4.Specific neuron is activated (C)
Hi, you got the right answer. Kudos.
The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation.
The correct order of working for Neural Network with explanation:
B. The weighted sum of inputs is calculated
A. The Bias is added
D. The result is fed to an activation function
C. Specific Neuron is activated
Explanation: In a neural network, each neuron in one layer is connected to other neurons in the corresponding layers. These connections carry random weights. The weighted sum of the inputs is calculated, and an additional input in the form of a bias is added (w * x + b). The result of this is fed to an activation function. Based on a particular threshold value, only those neurons get activated that crosses the threshold value.
The working for Neural Network:
B. The weighted sum of inputs is calculated
A. The Bias is added
D. The result is fed to an activation function
C. Specific Neuron is activated
Hi, you got the right answer. Kudos.
The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation.
The correct order of working for Neural Network with explanation:
B. The weighted sum of inputs is calculated
A. The Bias is added
D. The result is fed to an activation function
C. Specific Neuron is activated
Explanation: In a neural network, each neuron in one layer is connected to other neurons in the corresponding layers. These connections carry random weights. The weighted sum of the inputs is calculated, and an additional input in the form of a bias is added (w * x + b). The result of this is fed to an activation function. Based on a particular threshold value, only those neurons get activated that crosses the threshold value.
B-A-D-C
The Answer in order of correctness is B.A.D.C
Answer: B-A-D-C. Thank you very much !
"Hi, you got the right answer. Kudos.
The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation.
The correct order of working for Neural Network with explanation:
B. The weighted sum of inputs is calculated
A. The Bias is added
D. The result is fed to an activation function
C. Specific Neuron is activated
Explanation: In a neural network, each neuron in one layer is connected to other neurons in the corresponding layers. These connections carry random weights. The weighted sum of the inputs is calculated, and an additional input in the form of a bias is added (w * x + b). The result of this is fed to an activation function. Based on a particular threshold value, only those neurons get activated that crosses the threshold value.
"
The Answer in order of correctness is B.A.D.C
Answer: B-A-D-C. Thank you very much !
B-A-D-C
Very clearly explained. Good Didactic.
clear understanding. thanks for the video.
"Hi, you got the right answer. Kudos.
The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation.
The correct order of working for Neural Network with explanation:
B. The weighted sum of inputs is calculated
A. The Bias is added
D. The result is fed to an activation function
C. Specific Neuron is activated
Explanation: In a neural network, each neuron in one layer is connected to other neurons in the corresponding layers. These connections carry random weights. The weighted sum of the inputs is calculated, and an additional input in the form of a bias is added (w * x + b). The result of this is fed to an activation function. Based on a particular threshold value, only those neurons get activated that crosses the threshold value.
"
The correct order according to me is CBAD
"Hi xxx, we are sorry to say that you got the wrong answer but in any case, the contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation.
The correct order of working for Neural Network with explanation:
B. The weighted sum of inputs is calculated
A. The Bias is added
D. The result is fed to an activation function
C. Specific Neuron is activated
Explanation: In a neural network, each neuron in one layer is connected to other neurons in the corresponding layers. These connections carry random weights. The weighted sum of the inputs is calculated, and an additional input in the form of bias is added (w * x + b). The result of this is fed to an activation function. Based on a particular threshold value, only those neurons get activated that crosses the threshold value.
"
B- The weighted sum of the input is calculated
A- the bias is added
D- The result is fed to an activation function
C- Specific neuron is activated
Hi, you got the right answer. Kudos.
The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation.
The correct order of working for Neural Network with explanation:
B. The weighted sum of inputs is calculated
A. The Bias is added
D. The result is fed to an activation function
C. Specific Neuron is activated
Explanation: In a neural network, each neuron in one layer is connected to other neurons in the corresponding layers. These connections carry random weights. The weighted sum of the inputs is calculated, and an additional input in the form of a bias is added (w * x + b). The result of this is fed to an activation function. Based on a particular threshold value, only those neurons get activated that crosses the threshold value.
Which software are you using to create this video?
Interactive and eye catching video✌️✌️
Hi, we use video scribe software and adobe premiere pro to make this video. Thanks.
@@SimplilearnOfficial thank you for replying
Videos are very interesting ✌️✌️🏆🏆
I had a revelation less than 48 hours ago and now I know how to make AGI. I am currently finishing a paper that explains everything and provides an illustration of the model....I need help though because I don't know code language just yet. After i finish my paper in the next few days I'm going to start recruiting coders by asking podcasters to have me on their shows so i can talk about everything and ask for help
Hi Gregory, we do not do personalized help in projects. However, if you have any doubt in the video you can toss them over in the comment section.
I wonder about graphic software for video lessons... what software you have used?
Hi Shanze, we have used Scribe Software and Adobe Premiere Pro to make these videos. Cheers!
Quiz answer
A Neural Network is working in the following sequence.
B. The weighted sum of inputs is calculated
A. The Bias is added
D. The result is fed to an activation function
C. Specific Neuron is activated
"Hi Shams, you got the right answer. Kudos.
The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation.
The correct order of working for Neural Network with explanation:
B. The weighted sum of inputs is calculated
A. The Bias is added
D. The result is fed to an activation function
C. Specific Neuron is activated
Explanation: In a neural network, each neuron in one layer is connected to other neurons in the corresponding layers. These connections carry random weights. The weighted sum of the inputs is calculated, and an additional input in the form of a bias is added (w * x + b). The result of this is fed to an activation function. Based on a particular threshold value, only those neurons get activated that crosses the threshold value.
"
The order of the neural network is as follows:
B. the weighted sum of inputs is calculated
A. the bias is added
D. the result is fed to an activation function
C. specific neuron is activated
Hi, you got the right answer. Kudos.
The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation.
The correct order of working for Neural Network with explanation:
B. The weighted sum of inputs is calculated
A. The Bias is added
D. The result is fed to an activation function
C. Specific Neuron is activated
Explanation: In a neural network, each neuron in one layer is connected to other neurons in the corresponding layers. These connections carry random weights. The weighted sum of the inputs is calculated, and an additional input in the form of a bias is added (w * x + b). The result of this is fed to an activation function. Based on a particular threshold value, only those neurons get activated that crosses the threshold value.
BADC but i m late
Well thanks for the video
"Hi, you got the right answer. Kudos.
The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation.
The correct order of working for Neural Network with explanation:
B. The weighted sum of inputs is calculated
A. The Bias is added
D. The result is fed to an activation function
C. Specific Neuron is activated
Explanation: In a neural network, each neuron in one layer is connected to other neurons in the corresponding layers. These connections carry random weights. The weighted sum of the inputs is calculated, and an additional input in the form of a bias is added (w * x + b). The result of this is fed to an activation function. Based on a particular threshold value, only those neurons get activated that crosses the threshold value.
"
Excellent explanation 😍😍😍but can u plz tell from where you brought the bias formula did not understood that from where did 0.1 and 0.8 came
The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation.
The correct order of working for Neural Network with explanation:
B. The weighted sum of inputs is calculated
A. The Bias is added
D. The result is fed to an activation function
C. Specific Neuron is activated
Explanation: In a neural network, each neuron in one layer is connected to other neurons in the corresponding layers. These connections carry random weights. The weighted sum of the inputs is calculated, and an additional input in the form of a bias is added (w * x + b). The result of this is fed to an activation function. Based on a particular threshold value, only those neurons get activated that crosses the threshold value.
"
Very good episode
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the sequence is
B )The weighted sum of inputs is calculated
A)The bias is Added
D)The result is fed to activation function
C) Specific neuron is activated
"Hi, you got the right answer. Kudos.
The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation.
The correct order of working for Neural Network with explanation:
B. The weighted sum of inputs is calculated
A. The Bias is added
D. The result is fed to an activation function
C. Specific Neuron is activated
Explanation: In a neural network, each neuron in one layer is connected to other neurons in the corresponding layers. These connections carry random weights. The weighted sum of the inputs is calculated, and an additional input in the form of a bias is added (w * x + b). The result of this is fed to an activation function. Based on a particular threshold value, only those neurons get activated that crosses the threshold value.
"
Order:
B. the weighted sum of inputs is calculated
A. the bias is added
D. the result is fed to an activation function
C. specific neuron is activated
Hi, you got the right answer. Kudos.
The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation.
The correct order of working for Neural Network with explanation:
B. The weighted sum of inputs is calculated
A. The Bias is added
D. The result is fed to an activation function
C. Specific Neuron is activated
Explanation: In a neural network, each neuron in one layer is connected to other neurons in the corresponding layers. These connections carry random weights. The weighted sum of the inputs is calculated, and an additional input in the form of a bias is added (w * x + b). The result of this is fed to an activation function. Based on a particular threshold value, only those neurons get activated that crosses the threshold value.
Very clearly explained. Good Didactic.
Hey Johnson, thank you for appreciating our work. We are glad to have helped. Do check out our other tutorial videos and subscribe to us to stay connected. Cheers :)
B-A-D-C
Very clearly explained. Good Didactic.
The Answer in order of correctness is B.A.D.C
"Hi, you got the right answer. Kudos.
The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation.
The correct order of working for Neural Network with explanation:
B. The weighted sum of inputs is calculated
A. The Bias is added
D. The result is fed to an activation function
C. Specific Neuron is activated
Explanation: In a neural network, each neuron in one layer is connected to other neurons in the corresponding layers. These connections carry random weights. The weighted sum of the inputs is calculated, and an additional input in the form of a bias is added (w * x + b). The result of this is fed to an activation function. Based on a particular threshold value, only those neurons get activated that crosses the threshold value.
"
ok, B-A-D is clearly right in the order. But does 'C: specific neuron is activated' comes first or last? That is question for me ;)
Hi, do think and finalize your answer! We will give out the answer to the quiz next Wednesday, 12th June 2019. If your answer is right, you could be one of the 3 lucky winners to grab Rs 500 or 10$ worth Amazon voucher. Stay Tuned!
Hi, you almost got the right answer and the option 'C' comes last.
The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation.
The correct order of working for Neural Network with explanation:
B. The weighted sum of inputs is calculated
A. The Bias is added
D. The result is fed to an activation function
C. Specific Neuron is activated
Explanation: In a neural network, each neuron in one layer is connected to other neurons in the corresponding layers. These connections carry random weights. The weighted sum of the inputs is calculated, and an additional input in the form of a bias is added (w * x + b). The result of this is fed to an activation function. Based on a particular threshold value, only those neurons get activated that crosses the threshold value.
Great explaination for the Deep learning! 言简意赅啊！
Hope you enjoyed our video! We have a ton more videos like this on our channel. We hope you will join our community!
Can you suggest me some deep learning online self pace course ?
Hi Rahul, you can check out Simplilearn's Deep Learning course with this link: www.simplilearn.com/deep-learning-course-with-tensorflow-training
Very good video,many thanks 🙏
Glad you liked it!
clear understanding. thanks for the video.
Hey Elavarasan, thank you for appreciating our work. We are glad to have helped. Do check out our other tutorial videos and subscribe to us to stay connected. Cheers :)
under the line all 4i just been thinking is the sum of inputs just calculated before activation of neurons AND recalculated before presenting the result the match the summe before and after. Like Humans would before handing over there Examens...
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do you have any article related to ai in healthcare?
Yes, you can check out the article using this link: www.simplilearn.com/role-of-ai-and-big-data-in-healthcare-article
My answer to the quiz:
B. The weighted sum of the inputs is calculated
A. The bias is added
D. The result is fed to an activation function
C. Specific neuron is activated
Hi, you got the right answer. Kudos.
The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation.
The correct order of working for Neural Network with explanation:
B. The weighted sum of inputs is calculated
A. The Bias is added
D. The result is fed to an activation function
C. Specific Neuron is activated
Explanation: In a neural network, each neuron in one layer is connected to other neurons in the corresponding layers. These connections carry random weights. The weighted sum of the inputs is calculated, and an additional input in the form of a bias is added (w * x + b). The result of this is fed to an activation function. Based on a particular threshold value, only those neurons get activated that crosses the threshold value.
Gd channel
Thank you so much!
The sequence should be BADC..
"Hi, you got the right answer. Kudos.
The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation.
The correct order of working for Neural Network with explanation:
B. The weighted sum of inputs is calculated
A. The Bias is added
D. The result is fed to an activation function
C. Specific Neuron is activated
Explanation: In a neural network, each neuron in one layer is connected to other neurons in the corresponding layers. These connections carry random weights. The weighted sum of the inputs is calculated, and an additional input in the form of a bias is added (w * x + b). The result of this is fed to an activation function. Based on a particular threshold value, only those neurons get activated that crosses the threshold value.
"
The answer ro the quiz question is as follows:
B: The weighted sum of the inputs is calculated
A: The bias is added
D: The result is fed to an activation function
C: Specific neuron activated
Hi, you got the right answer. Kudos.
The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation.
The correct order of working for Neural Network with explanation:
B. The weighted sum of inputs is calculated
A. The Bias is added
D. The result is fed to an activation function
C. Specific Neuron is activated
Explanation: In a neural network, each neuron in one layer is connected to other neurons in the corresponding layers. These connections carry random weights. The weighted sum of the inputs is calculated, and an additional input in the form of a bias is added (w * x + b). The result of this is fed to an activation function. Based on a particular threshold value, only those neurons get activated that crosses the threshold value.
what is the difference between deep learning and machine learning??
Hi Onel, you can check out this video to learn the difference between Deep Learning and Machine Learning: ruclips.net/video/9dFhZFUkzuQ/видео.html
My answer for the quize is:
B. Weighted sum of inputs is calculated
A. Bias is added
D. The result is fed to activation function.
C. Specific neuron is activated
Hi Chen-Hung, you got the right answer. Kudos.
The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation.
The correct order of working for Neural Network with explanation:
B. The weighted sum of inputs is calculated
A. The Bias is added
D. The result is fed to an activation function
C. Specific Neuron is activated
Explanation: In a neural network, each neuron in one layer is connected to other neurons in the corresponding layers. These connections carry random weights. The weighted sum of the inputs is calculated, and an additional input in the form of a bias is added (w * x + b). The result of this is fed to an activation function. Based on a particular threshold value, only those neurons get activated that crosses the threshold value.
you missed the R letter in the framework in the 5:00 minute in your timeline,
Good eye! Our mistake :
I have presentation on deep learning tommorrow .can you pls share this video slides pls
We don't have any pdf of this particular video. For slides, you can check out our slideshare profile: www.slideshare.net/Simplilearn"