Question: A Convolutional Neural Network is made of multiple convolutional filters / kernels in a block that comprises the tunable weight parameters between a pair of

A Convolutional Neural Network is made of multiple convolutional filters

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kernels in a "block" that comprises the tunable weight parameters between a pair of layers. We create a class Block to hold all the parameters and define a forward function for forward propagation.

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