Convolution layer (CONV) The convolution layer (CONV) works by using filters that perform convolution operations as it can be scanning the input $I$ with regard to its Proportions. Its hyperparameters contain the filter size $File$ and stride $S$. The resulting output $O$ is called characteristic map or activation map. https://financefeeds.com/cboe-launches-index-datasets-on-snowflake-marketplace/