Bro next time don't be so obvious, I thought you were really teaching, but I remembered a book I read and realized you were just repeating everything the book said.
I had seen lots of videos about ann but no one explained in such a way as you explained...you are just amazing...looking forward for your more videos on ann..Thank you for making such effort and helps us to understand the concept clearly...
This lecture is amazing! It will help a lot In my graduation project. The only thing that I did not like is that the sound is too low, so I had to download the video to amplify the sound manually. That is the only caveat.
Many many many videos and tutorials claim to teach neural networks from the very basics, but they fail to get even close to what you did in this video. Please continue the good job.
Hello sir, I got error a file SGD_method which I have view so it show line d= correct_Output(k); Can you specify for the issues? Thank you in advance. transposed_Input = input(k, :)'; d = correct_Output(k);
@@MsAaradhyaChopra I cant save Training_Network.mat// I run but still the same. Maybay I import path specific libraries that it can bring it save into current folder?
Thank you for the GREAT introduction video Sir, your content and pacing are excellent! I did have one point of confusion I was hoping you could clarify in your 2-layer example at approx. 8:30 in the above video: You describe the second row of the weight matrix [3 1; 2 4] as being 'the weights of the second layer' (which your annotation also shows), but these two numbers do not make sense from my perspective. I believe that rather the weights of the second row ([2 4]) are the weights between the inputs and the bottom node in the first hidden layer. I.e. I think your further explanation at approx. 8:50 is correct on this material, but it is just incongruous with your explanation at approx. 8:30. Regards and thanks again!
8:40 Generalized single layer equation
12:44 learning rule definition
12:57 Error definition
20:33 Training example in matlab
Bro next time don't be so obvious, I thought you were really teaching, but I remembered a book I read and realized you were just repeating everything the book said.
You teach people from the very basic which i like most about your contents. Keep it up.
Excellent idea share 🥰
Thank you
Thank you.
Very nice explanation includes both concept programming .Thanks for sharing .
You are most welcome
excellent, thanks for share
Thanks for watching!
Very useful. Thanks for your step by step teaching. Generally Indian are very powerful in theoretical science.
Very rich presentation and informative. Thank you very much.
So nice of you
Thanks you for useful méthode if explanationشكرا
Well explained every concepts and that programs through matlab. Yes i subscribed.
now i can write by methodology in confidence....Thank you sir
Yes. A strong basic gives confidence. I am glad that my video helped. Please subscribe and encourage your friends to subscribe my channel.
I had seen lots of videos about ann but no one explained in such a way as you explained...you are just amazing...looking forward for your more videos on ann..Thank you for making such effort and helps us to understand the concept clearly...
So nice of you
Your teaching is very basic and step-by-step became familiar with neuro network
Thank you
Thank you
Thank you Professor, Excellent work
Khub e helpful video. Dhannybad dada apnake.
প্রশংসার জন্য আপনাকে স্বাগত জানাই, দাদা।
Am impress by the way you explain. keep it up Sir
Thanks a lot
easy to understand and good explanation. ThankYou
Glad it was helpful!
Super class....understood well..thankyou sir
How cool is that ,you are a mazing ,thanks sir (dhanyavaad bhaee)
very informative and easy to understand
Glad you think so!
thank you ,your explanation is great
You are welcome!
Thank you so much for this detailed explanation. Keep it up sir .. !!!
Most welcome!
This is brilliant, to say the least.
Very, nice explanation
Glad it was helpful!
neat and simple
very good... Did a fabulous job. May Allah bless U !
Great to know that you are a bengali . I m too. Liked your video very much.
This is one of the best video of ANN. Thank you so much, sir, for clearing my doubts
You are most welcome
جزاك الله خيرا
Super smart! This lecture is the most intuitive and efficient for deep learning.
WOW cristal clear, now I am understanding the DNNs better!
Good explanation, it will be a pleasure to meet sir. God bless you
Thank you sir. Your lecture is very clear to understand. Please make more neural network tutorial.
Bro, your content is amazing, thumbs up
You are my new hero.
God bless you bro
Thank you.
I am thank full to you for helping my assignment works and well defined way of lecture Sir Nuruzzaman Faruqui.
It's my pleasure
Thank you very detail. :)
World class lectures right here
great video thanks a lot of you helped me
Glad it helped
Waw man, think you so much
Lovely tutorial. More power...
God Bless You
Wonderful lecture... thank you sir
Great material, Nuruzzaman
thank you very mach it is verry helpful
excellent teaching
This lecture is amazing! It will help a lot In my graduation project. The only thing that I did not like is that the sound is too low, so I had to download the video to amplify the sound manually. That is the only caveat.
I am glad to know that it was helpful. And sorry about the difficulty you had to face for the low volume.
excelled video sir
Very well explanation of neural network. Keep it up.
Excellent explanation!
Nobody can explain like you, you are great, keep doing good work. Thanks
Yes
Very Nice! Thanks a lot. Your presentation is amazing !! Keep going please.
thank you very much for your lecture , it was awesome .
I love this ..
congratulations for your work
Its absolutely informative
Thank you, Sir.
1:08 I thought 'What about Multi-layer Neural Network?' so waiting for that video... When you are able to make and upload that video?
Great lecture, thanks!
good job
Excellent introduction to neural network basics, keep up the great work!
very good friend! keep going .....
Excellent work!!! Very very simple to follow
THANKS FOR DOING MY DEGREE EASIER!
Happy to help!
Thank so much!!!!
I found what i wanted to found.
Glad I could help!
thank for tutorial it is very helpful for me
Glad it helped
Great lecture, thanks! Please make more videos of neural networks in Matlab.
permission for learning. thank you sir
IT'S REALLY HELPFULL!! Thank you , Sir 😇
you save me this vidéo is so good. thank you
Glad it helped!
Excellent
well explained.keep posting
Excellent introduction to neural network basics, keep up the great work!
Excellent explanation
Nice and clear! :D
Excellent!
Thank you for your tutorials!
very helpful
Glad you think so!
@@NuruzzamanFaruquis i am trying to implement same on online matlab octave. what could be the issue on online matlab octave.
Many many many videos and tutorials claim to teach neural networks from the very basics, but they fail to get even close to what you did in this video. Please continue the good job.
I am truly inspired. Thank you for such inspiring comment.
TNX 😍
excelent
Great video! Subscribed!
Thank you sir.
Wow
Thanks a lot.
Most welcome!
Thank you very much very helpful
thank you so much sir ....sir plz provide ppt of those lecture on neural network.
good.
Thanks
Thank you so much ❤
You're welcome 😊
THANK YOU
You have a clear voice and a great way to describe !!
for sure I will click on subscribe
good luck
Thank you.
Perfect lecture
Thank you sir
Thank you !!!
Thank you so much, sir
You are welcome
Hello sir, I got error a file SGD_method which I have view so it show line d= correct_Output(k); Can you specify for the issues? Thank you in advance.
transposed_Input = input(k, :)';
d = correct_Output(k);
Yes same here
I have used cell2mat to rectify the same but now getting error in using - operator
@@MsAaradhyaChopra I cant save Training_Network.mat// I run but still the same. Maybay I import path specific libraries that it can bring it save into current folder?
;) buddy you're on the right track No stopping continue.
Thank you.
Thanks. Bujhte subidha holo. Jodi time series nie kono lectures koren bhalo hoe.
Please make more Lectures on Neural Networks using MATLAB ASAP
Thank you. But I have one question. How do we incorporate biases to this model? How do we initalize and iterate for biases?
Thank you for the GREAT introduction video Sir, your content and pacing are excellent! I did have one point of confusion I was hoping you could clarify in your 2-layer example at approx. 8:30 in the above video:
You describe the second row of the weight matrix [3 1; 2 4] as being 'the weights of the second layer' (which your annotation also shows), but these two numbers do not make sense from my perspective. I believe that rather the weights of the second row ([2 4]) are the weights between the inputs and the bottom node in the first hidden layer. I.e. I think your further explanation at approx. 8:50 is correct on this material, but it is just incongruous with your explanation at approx. 8:30.
Regards and thanks again!
That's true! I guess, he means that the weights of the second node i.e [2 4] in the first layer are taken as the second row.
i needthe next part of this video multilayer neural network
good
Thanks
Thank you very much sir, your video lecture are very useful, if you have video lecture on multiple object detection using deeplearning, please upload.
U have got the trained outputs. But can u explain where exactly the weights are changed and at which node using MATLAB?
I will try to cover it in some upcoming lectures.