Network Layers

In the context of machine learning, and more specifically in neural networks, “layers” refer to various levels or stages of processing units. These layers are fundamental in extracting and transforming features from input data, each serving a distinct functional purpose in the learning process. Each type of layer is designed to perform a specific kind of operation on its input data. Here are some common types of layers we will encounter in machine learning models.