The output on the convolutional layer is normally handed from the ReLU activation function to bring non-linearity for the model. It's going to take the function map and replaces many of the unfavorable values with zero. It is among the most crucial applications of device learning and deep learning. https://financefeeds.com/best-meme-coins-to-buy-tokens-that-could-100x-in-2025/