Uses of Interface
deepnetts.net.layers.Layer

Packages that use Layer

Package	Description
deepnetts.net.layers	Neural network layers, which are main building blocks of a neural network.

Uses of Layer in deepnetts.net.layers

Classes in deepnetts.net.layers that implement Layer

Modifier and Type	Class	Description
class	AbstractLayer<I extends TensorBase,O extends TensorBase,W extends TensorBase>	Base class for different types of layers.
final class	ConvolutionalLayer	Convolutional layer performs image convolution operation on outputs of a previous layer using filters.
class	FlattenLayer	Transforms outputs from previous 3D layer into a flatten 1D tensor in forward pass, Backward pass propagates weighted errors/deltas from the next fully connected layer.
class	FullyConnectedLayer	Fully connected layer is used as a hidden layer in a neural network, and it has a single row of units/nodes/neurons connected to all neurons in previous and next layer.
class	InputLayer	Input layer in a neural network.
final class	MaxPoolingLayer	This layer performs max pooling operation in convolutional neural network, which scales down output from previous layer by taking max outputs from small predefined filter areas.
class	OutputLayer	Output layer of a neural network.
class	SoftmaxOutputLayer	Output layer with softmax activation function.