Convolution layer (CONV) The convolution layer (CONV) takes advantage of filters that perform convolution operations as it truly is scanning the enter $I$ with respect to its Proportions. Its hyperparameters involve the filter size $F$ and stride $S$. The resulting output $O$ is called attribute map or activation map.Autoencoders -Equipment Learnin