The output from the convolutional layer is frequently passed through the ReLU activation function to bring non-linearity on the model. It will require the element map and replaces every one of the unfavorable values with zero. In the convolution layer, we go the filter/kernel to every possible posture on https://financefeeds.com/3-top-copyright-projects-to-invest-in-jan-2025-top-trending-cryptos-for-big-profits/