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 and Description
class	AbstractLayer Base class for different types of layers.
class	ConvolutionalLayer Convolutional layer performs image convolution operation on outputs of a previous layer using filters.
class	FlattenLayer Just transform outputs from prev 3d layer into flat 1d tensor in formward pass backward pass will be same as backward for fc, and for 3d layers backwardFromFc Automaticly add after 2d or 3d layer to transition to fc layers.
class	FullyConnectedLayer Fully connected layer is used as hidden layer in the 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.
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.