Package org.neuroph.nnet.comp.layer

Provides various specific layer types

See: Description

Class Summary

Class	Description
CompetitiveLayer	Represents layer of competitive neurons, and provides methods for competition.
ConvolutionalLayer	Convolutional layer is a special type of layer, used in convolutional neural networks.
FeatureMapLayer	FeatureMapLayer Layer provides 2D layout of the neurons in layer.
FeatureMapsLayer	This class represents an array of feature maps which are 2 dimensional layers (Layer2D instances) and it is base class for Convolution and Pooling layers, which are used in ConvolutionalNetwork
InputLayer	Represents a layer of input neurons - a typical neural network input layer
InputMapsLayer	Input layer for convolutional networks
PoolingLayer	Pooling layer is a special type of feature maps layer (FeatureMapsLayer) which is used in convolutional networks.

Package org.neuroph.nnet.comp.layer Description

Provides various specific layer types