Besides convolution, there is an additional critical Portion of convolutional layers, referred to as the Non-linear activation function. The outputs of your linear functions like convolution are passed through a non-linear activation functionality. From the convolution layer, we transfer the filter/kernel to every possible situation within the input matrix. https://financefeeds.com/sei-theta-price-woes-imminent-as-capital-ploughs-into-new-panshibi-coin/