Backpropagation in CNN is one of the very difficult concept to understand. And I have seen very few people actually producing content on this topic.

So here in this video, we will understand Backpropagation in CNN properly. This is part 2 of this tutorial, and in this is we will look at Backpropagation for entire Convolutional Neural Network. In part 1, we already saw the backpropagation for convolutional operation. You can find its link down here in the description box.

All the frameworks used for Deep Learning automatically implement Backpropagation for CNN. But as we humans are curious, we want to know how it works and not let it be implemented automatically.

So buckle up! And let's understand Backpropagation in CNN.



PDF notes for this video: https://bit.ly/BackPropCNNP2



Timestamp:
0:00 Intro
1:52 Forward Propagation Equations
3:23 What to obtain
4:52 Layer 3 Backpropagation
7:17 Layer 2 Backpropagation
13:41 Layer 1 Backpropagation
17:47 Summary



Backpropagation in CNN - Part 1: https://www.youtube.com/watch?v=Pn7RK7tofPg

Neural Network (ANN) Playlist: https://www.youtube.com/watch?v=mlk0rddP3L4&list=PLuhqtP7jdD8CftMk831qdE8BlIteSaNzD&t=0s



Follow my entire playlist on Convolutional Neural Network (CNN) :

CNN Playlist: https://www.youtube.com/watch?v=E5Z7F...

At the end of some videos, you will also find quizzes that can help you to understand the concept and retain your learning.



Complete Logistic Regression Playlist: https://www.youtube.com/watch?v=U1omz0B9FTw&list=PLuhqtP7jdD8Chy7QIo5U0zzKP8-emLdny&t=0s

Complete Linear Regression Playlist: https://www.youtube.com/watch?v=nwD5U2WxTdk&list=PLuhqtP7jdD8AFocJuxC6_Zz0HepAWL9cF&t=0s



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