Uses of Package
deepnetts.net.layers

Packages that use deepnetts.net.layers

Package	Description
deepnetts.cudnn
deepnetts.net	Neural network architectures with their corresponding builders.
deepnetts.net.layers	Neural network layers, which are main building blocks of a neural network.
deepnetts.net.train.opt	Optimization methods used by training algorithm.

Classes in deepnetts.net.layers used by deepnetts.cudnn

Class	Description
AbstractLayer	Base class for different types of layers.
ConvolutionalLayer	Convolutional layer performs image convolution operation on outputs of a previous layer using filters.
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.
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.
SoftmaxOutputLayer	Output layer with softmax activation function.

Classes in deepnetts.net.layers used by deepnetts.net

Class	Description
AbstractLayer	Base class for different types of layers.
Filter	Settings of a convolutional filter which is used to learn to detect pixel patterns.
InputLayer	Input layer in a neural network.
OutputLayer	Output layer of a neural network.

Classes in deepnetts.net.layers used by deepnetts.net.layers

Class	Description
AbstractLayer	Base class for different types of layers.
Filter	Settings of a convolutional filter which is used to learn to detect pixel patterns.
Layer	Common base interface for all types of neural network layers.
LayerType	Supported types of layers.
OutputLayer	Output layer of a neural network.

Classes in deepnetts.net.layers used by deepnetts.net.train.opt

Class	Description
AbstractLayer	Base class for different types of layers.