WHAT HAPPENED TO GARY V FUNDAMENTALS EXPLAINED

Convolution layer (CONV) The convolution layer (CONV) employs filters that perform convolution functions as it really is scanning the input $I$ with regard to its dimensions. Its hyperparameters include things like the filter size $File$ and stride $S$. The ensuing output $O$ is called feature map or activation map.Variational AutoEncoders Autoenco