The output from the convolutional layer is frequently handed throughout the ReLU activation function to bring non-linearity for the model. It takes the attribute map and replaces many of the damaging values with zero. Each and every layer from the neural network plays a novel role in the process https://financefeeds.com/setting-goals-for-the-future-here-are-the-4-best-coins-to-join-for-2025/