Package deepnetts.net

package deepnetts.net

Neural network architectures with their corresponding builders.

Related Packages

Package	Description
deepnetts.net.layers	Neural network layers, which are main building blocks of a neural network.
deepnetts.net.loss	Commonly used loss functions, which are used to calculate error during the training as a difference between predicted and target output.
deepnetts.net.train	Training algorithms and related utilities.
deepnetts.net.weights	Weights randomization techniques, used for initializing layer's internal parameters.

Class	Description
ConvolutionalNetwork	Convolutional neural network is an extension of feed forward network, which can include 2D and 3D adaptive preprocessing layers (Convolutional and MaxPooling layer), which is specialized to learn to recognize features in images.
ConvolutionalNetwork.Builder	Builder for a convolutional neural network.
FeedForwardNetwork	Feed forward neural network architecture, also known as Multi Layer Perceptron.
FeedForwardNetwork.Builder	Builder of a FeedForwardNetwork instance.
Mode
NetworkType	Neural network architecture types.
NeuralNetwork<T extends Trainer>	Base class for all neural networks in Deep Netts.