Convolution layer (CONV) The convolution layer (CONV) utilizes filters that perform convolution functions as it is actually scanning the enter $I$ with respect to its dimensions. Its hyperparameters involve the filter size $File$ and stride $S$. The resulting output $O$ is called characteristic map or activation map. Implicaciones pedagógicas https://financefeeds.com/moomoo-partners-with-tradingview-for-apac-broker-integration/