Слой — компонент нейронной сети, который преобразует входы в выходы с помощью выученных весов, функций активации или других операций. Слои могут выполнять роли входной обработки, обучения скрытых представлений, attention, нормализации или выходного предсказания.
A set of neurons in a neural network. Three common types of layers are as follows: - The input layer, which provides values for all the features. - One or more hidden layers, which find nonlinear relationships between the features and the label. - The output layer, which provides the prediction. For example, the following illustration shows a neural network with one input layer, two hidden layers, and one output layer: !A neural network with one input layer, two hidden layers, and one output layer. The input layer consists of two features. The first hidden layer consists of three neurons and the second hidden layer consists of two neurons. The output layer consists of a single node. In TensorFlow, layers are also Python functions that take Tensors and configuration options as input and produce other tensors as output.