University of California, Berkeley

So I tried to derive the formula of the back-propagation my self. Here is my derivation. So suppose we have the input I with the shape H x H x C, where B - the batch, H - is the height and width of the image( just taking square image fo rate example), C - the amount of channels. The kernel k has a size of K x K x C( also taking square kernel for the sake of the example). page 1

My derivation of CNN backpropagation formula.page 1

A very good source on how Convolution Neural Networks work mathematically:
https://www.jefkine.com/general/2016/09/05/backpropagation-in-convolutional-neural-networks/


Backpropagation In Convolutional Neural Networks

Good article for buliding an intuition on how to derive the backpropagation formula:https://medium.com/@pavisj/convolutions-and-backpropagations-46026a8f5d2c

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