8. Back Propagation Learning and Loss function

Lecture 23 Backpropagation Learning 

Discussion Content : Learning rate, Back-propagation Learning, Error Estimation Hidden Layers and output layer, Weight Updation Rule

Content File : https://drive.google.com/file/d/1-FkP...

Lecture 24 Loss Function

Discussion Content : Problems in Quadratic Loss, Vanishing Gradients, Cross Entropy Loss Content File : https://drive.google.com/file/d/1UGnq...

Lecture 25 Backpropagation Learning Example I

Discussion Content : Multilayer Perceptron, Feed-forward and BackpropagationMultilayer Perceptron, Feed-forward and Backpropagation Content File : https://drive.google.com/file/d/1PEYe.

Lecture 26 Backpropagation Learning Example II

Discussion Content : Multilayer Perceptron, Feed-forward and BackpropagationMultilayer Perceptron, Feed-forward and Backpropagation (Cntd.) Content File : https://drive.google.com/file/d/1UumZ...

Lecture 27 Backpropagation Learning Example III

Discussion Content : Multilayer Perceptron, Feed-forward and BackpropagationMultilayer Perceptron, Feed-forward and Backpropagation (Cntd.) Content File : https://drive.google.com/file/d/1xEbm...

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