The output of the convolutional layer is frequently passed throughout the ReLU activation perform to bring non-linearity into the model. It will require the attribute map and replaces every one of the negative values with zero. Within the convolution layer, we transfer the filter/kernel to every probable posture around https://financefeeds.com/sei-theta-price-woes-imminent-as-capital-ploughs-into-new-panshibi-coin/