[][src]Module neuro::layers

Collection of layers used to create neural networks.

Structs

BatchNorm

Defines a batch normalization layer.

Conv2D

Defines a 2D convolution layer.

Dense

Defines a dense (or fully connected) layer.

Dropout

Defines a dropout layer.

Flatten
MaxPool2D

Defines a 2D max pooling layer.

Enums

Padding

Defines the type of padding applied to the inputs.

Traits

Layer

Public trait defining the behaviors of a layer.