Convolution layer (CONV) The convolution layer (CONV) makes use of filters that perform convolution operations as it is actually scanning the input $I$ with regard to its Proportions. Its hyperparameters include the filter size $File$ and stride $S$. The ensuing output $O$ is called feature map or activation map. https://financefeeds.com/best-meme-coins-to-buy-today-100x-incoming-after-trump-inauguration/