#25 The Perceptron and The Perceptron training rule |ML|
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- Опубликовано: 2 окт 2024
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Hey dude, just be confident and stop asking sorry if people dint understand, you did great and you are doing great so be confident and make more details and your intro is very loud look into it 😊
And mam is explaining very well🤩
But she's dudess not dude
@@railvikramvlogs 😂
@@railvikramvlogs dudette 😂
Today is exam😂😂
Thank you very much mam for your assistance. You don't need to be sorry. You helped me with it and I will not let you down in my exam :D
mam intro change krdo bhot loud h legit exam h kl raat k 4 bje hain kaan ft gye
Very good and simple explanation . If you can add a small problem then it might help students. All the best for your work
Hey Shraavya! please make a video on these topics.
College - IIIT Allahabad
Dear All,
Your C2 evaluation is scheduled on Tuesday 8th November, during your class time of 9:00 AM to 11:00 AM.
Syllabus includes: KNN, Perceptron, Dimensionality Reduction Techniques: PCA, MDS, Isomaps, LLE, TSNE, UMap, MLE, Naïve Bayes Classifier, Decision Trees, Random Forest, Bagging, Boosting: Ada boost, XG Boost (and any other topic discussed/assigned in class).
All the best,
Dr. Muneendra Ojha
Hope it went well Bruh
bhai kesa gaya paper???
R18 JNTUH
Exam on Aug 21
We need teachers like you, appreciate your skills.😊
Perceptron training and perceptron algorithm are same
Yes only here the algorithm learned about weight and actual value
Awesome explanation! Easily understandable and to the point explanation.
Mam please make videos on types of perceptron also
I am st marys Institute of engineering
Our exam is on Tuesday I.e on 24th of august
Design a two-layer network of perceptron to implement a) X OR Y b) X AND Y
Explain the concept of a Perceptron with a neat diagram
Please do videos for deep learning
Best one sister thankyou ❤️
You explained Very Well Mam ... No doubts we need Teachers Like You Keep going .. You Are doing Great .. Thanks A lot
tommorow akkaa....
26|07|2024
Amrita Sai institution of science technology paritala ap Krishna district exams in April ending
Charusat
.
I understood all concepts clearly I want PDF notes mam...... Pls reply
your pronunciations, way of teaching and your sweet voice made this boring subject interesting, thanks a lot for that.....
how this is boring lol
Tomorrow my exam 🤔🤔
Hlo mam
I like your way of teaching
So can you please make more vedios on my syllabus??
SECTION-A
Basics: Biological Neuron, Idea of computational units, McCulloch-Pitts unit and Thresholding logic, Linear Perceptron, Perceptron Learning Algorithm, Linear separability. Convergence theorem for Perceptron Learning Algorithm.
Feedforward Networks: Multilayer Perceptron (MLP), Gradient Descent, Backpropagation, Empirical Risk Minimization, regularization, autoencoders. Implementing MLP with Keras, fine tuning Neural Network Hyperparameters
SECTION-B
Deep Neural Networks: Difficulty of training deep neural networks - vanishing/exploding gradient problems.
Better Training of Neural Networks:Reusing Pre-trained Layers: Transfer Learning with Keras, unsupervised pre-training, pre-training on an auxiliary task
Faster Optimizers: Momentum Optimization, Nesterov Accelerated Gradient, AdaGrad, RMSProp, Adam and Nadam Optimization, Learning rate Scheduling
Avoiding Overfitting through regularization: l1 and l2 regularization, Dropout, MC Dropout, Max-Norm Regularization
Newer optimization methods for neural networks (Adagrad, adadelta, rmsprop, adam, NAG), second order methods for training, Saddle point problem in neural networks, Regularization methods (dropout, drop connect, batch normalization).
SECTION-C
Custom Models and Training with TensorFlow,
Loading and Preprocessing Data with TensorFlow
Recurrent Neural Networks: Back propagation through time, Long Short Term Memory, Gated Recurrent Units, Bidirectional LSTMs, Bidirectional RNNs
Convolutional Neural Networks: Deep Computer vision using CNN: Convolutional Layer, Pooling Layer, CNN Architectures: LeNet, AlexNet. GoogLeNet, VGGNet, ResNet,Xception, SENet,, Object Detection
SECTION-D
Generative models: Restrictive Boltzmann Machines (RBMs), Introduction to MCMC and Gibbs Sampling, gradient computations in RBMs, Deep Boltzmann Machines.
4.3. Consider two perceptrons defined by the threshold expression wo+w₁₁+w2x2>0. Perceptron A has weight values
wo = 1, w₁ = 2, w₂ = 1
and perceptron B has the weight values
wo=0, w₁ = 2, w₂ = 1
True or false? Perceptron A is more general than perceptron B. (more general than
is defined in Chapter 2.)
Mam can you please explain this by Sunday ..
Lovely and addicting videos!!,Keep making moreee, Love
Mam plz make a PDF of your notes mam PLZZ maku chala help avtadi
Avnu
@@R_sravani hi
Punjab ebgineering college
Tomorrow exam
Please provide
Can you tell the Natural Language Processing subject topics
You explained very well 😊
Mam, could you explain chi square test and its properties, advantages and limitations in business research methods
1:22 here the value given as output by threshold function will be 0 or 1 not -1 or 1
Please share these notes of machine learning, pdf with explanation and examples
how do we calculate the threshold for the bipolar step function?
mam can you explain software engineering tomorrow i have sem exam
Thankyou very useful notes.
You really deserve more viewers 🔥🔥
Lovely explanation 🤩🤩
Mam is types of perceptron is important if it is Then plz make a video on it mam
mam plase make videos on soft computing also
Ma'am can you please make a separate video on multi layer perceptron 😊
I didn't get... why is this rule made?
Within 3 months we have sem
Thank you
where can i get these notes?
Mam can you please make vedios on introduction to data science (IDS) according to JNTUH r18 syllabus.your vedios are very helpful and and make as soon as possible because my exam are nearer.
Thank you very much mam 🙏😊
Jntu university r18 regulation web technologies (do not compare the syllabus for autonomous collages) my exam is on 14/06/2023
Can u pls make video on maximum likelihood estimation ,bias and variance ,bayes estimator ,parametric classification ,regression and model selection procedures plsss it would be a great help if u do our exams start from July 10th atleast before July 6th if u do it will be very helpful 🙏🙏🙏
Exam is tomorrow. Make crash course
Mam one doubt in this unit they having a feed forward neural network that is single layer and multi layer and other topic perceptron also has single layer and multilayer both are same ah mam pls reply exam is near
Exam in 1 hr
College: Sikkim Manipal institute of technology
Can u tell real time example with this
Explain Rosenblatt’s perceptron model. How can a set of data be
classified using a simple perceptron? Using a simple perceptron with
weights w0, w1 , and w2 as −1, 2, and 1, respectively, classify data
points (3,4); (5, 2); (1, −3); (−8, −3); (−3, 0).
If we know the content why we watch u r vedio prepare and be confident in making content if u r not that confident dont make vedious
Mam please make video according t o jntua syllabus of ML mam... I saw all your videos mam it's osm mam I can easily learn the things mam ... Please do the video of 5 units mam please reply mam
Nice explanation
Love you mam❤
Sem 3 mechine learning in msc Data analytics in Mar Athanasius college Kothamangalam
It seems you are missing comparison with zero. A perceptron using thresholding to determine the output. Greater than 0 then output = 1, else output = 0.
mam do more videos it should be undrstandable
Madam can you please tell jntuk syllabus machine learning
2 dec iit mandi 2022 karan baraik
Awesome explanation maam
Mam their is doubt that I did not come over the
Target out how it is generated can u plz tell me
About is plz
Exam on 21st July 2022 , machine learning
Hello, Ma'am. Exam Tomorrow :). Byee
Is notes available of these lectures anywhere ?
Make video on alvyin self driving car of machine learning
Hello, sister we have exam on june 13th onwords..
Seeing your videos ,writing exams .👽
Can we use sigmiod function formulas in multilayer perceptron topic mam
I need perceptron learning algorithms in deep learning. And I am studying in MCC Chennai
I'm having my exams tomorrow, thanks
Mam difference between CNN, RNN, LSTM
Hiii mam. u r explaining all thing very well . I am engineering student. We have a subject in third year in mechanical branch is AIML. I am student in snjb engineering coe chandawad. Under sppu University. So Aiml theory exam is on 29 Jun. ..please explain topics shortly. It is IT based subject fully therotical. very hard. I request to u please make video shortly.
Explain kernel functions,overfittingand uniform convergence,svm,deep learning pls
can you please explain AND and OR gates using perceptron
A request, plz add link of previous videos in the description box that you mention in the running video, it'll be really helpful😊
can you explain problems based on perceptron clearly with steps....
I liked u r information sister....and about Ann also..it's awesome..plse keep going with these type of explanation...
Ma'am is this ok for explaining theory or have to eloborate more to pass the exam
Plz upload video on linear seperability and linear regression.i request you to plz make a video
Is there any problems on this model...?
Umwahhh
Just one numerical and it's blast
Please write only on one side of the notebook page.
love u ma"mm
Ahw Thanks mam
St martins
please add one problem for this concept
Mam, I faced some doubts regarding mechanism of artificial neural network in machine learning
Likes from those who jus wnna notes from thz vdeo #lol
Wow really good explanation , every single point was very informative
This a great explanation, honestly. I tried to watch other videos about perceptron too but it made me confuse even more. Thank you for the vid.
very good and simple explanation
mam
Thanku so much 👍
mama why dont you upload notes
College-VIEW exam from nov-14
Mam can u explain DAA subject
veri nice
Can u share the notes of these vedios
Nice videos