About: Layer (deep learning)

A layer in a deep learning model is a structure or network topology in the model's architecture, which takes information from the previous layers and then passes it to the next layer. There are several famous layers in deep learning, namely convolutional layer and maximum pooling layer in the convolutional neural network. Fully connected layer and ReLU layer in vanilla neural network. RNN layer in the RNN model and deconvolutional layer in autoencoder etc.