Forward and Backward Max Pooling

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Presentation transcript:

Forward and Backward Max Pooling

Upsampling in Pooling

Convolution Operation (Forward Pass) https://becominghuman.ai/back-propagation-in-convolutional-neural-networks-intuition-and-code-714ef1c38199

Input Size : 3x3, Filter Size : 2x2, Output Size : 2x2 Output Equations

Derivative Computation (Backward Pass) Final derivatives after performing back propagation Note: no deconvolution, we are trying to compute an update of weight

For a full derivation, go through this site Only Numpy: Understanding Back Propagation for Transpose Convolution in Multi Layer CNN with Example and Interactive Code. https://towardsdatascience.com/only-numpy-understanding- back-propagation-for-transpose-convolution-in-multi-layer- cnn-with-c0a07d191981