Uses of Class
deepnetts.net.FeedForwardNetwork.Builder

Packages that use FeedForwardNetwork.Builder

Package	Description
deepnetts.net	Neural network architectures with their corresponding builders.

Uses of FeedForwardNetwork.Builder in deepnetts.net

Methods in deepnetts.net that return FeedForwardNetwork.Builder

Modifier and Type	Method	Description
FeedForwardNetwork.Builder	FeedForwardNetwork.Builder.addFullyConnectedLayer(int layerWidth)	Adds to the network a fully connected layer with specified width and Relu activation function by default.
FeedForwardNetwork.Builder	FeedForwardNetwork.Builder.addFullyConnectedLayer(int layerWidth, ActivationType activationType)	Adds fully connected addLayer with specified width and activation function to the network.
FeedForwardNetwork.Builder	FeedForwardNetwork.Builder.addHiddenFullyConnectedLayers(int... layerWidths)	Adds to the network several hidden fully connected layers with specified widths and default hidden activation function by default.
FeedForwardNetwork.Builder	FeedForwardNetwork.Builder.addHiddenFullyConnectedLayers(ActivationType activationType, int... layerWidths)	Adds fully connected hidden layers with widths given in layerWidths param and given activation function type.
FeedForwardNetwork.Builder	FeedForwardNetwork.Builder.addInputLayer(int layerWidth)	Adds input layer with the specified layerWidth (number of inputs) to the network.
FeedForwardNetwork.Builder	FeedForwardNetwork.Builder.addInputLayer(int layerWidth, int batchSize)
FeedForwardNetwork.Builder	FeedForwardNetwork.Builder.addLayer(AbstractLayer layer)	Adds custom layer to this network (which inherits from AbstractLayer)
FeedForwardNetwork.Builder	FeedForwardNetwork.Builder.addOutputLayer(int width, ActivationType activationType)	Adds output layer to the neural network with specified width (number of outputs) and activation function type.
static FeedForwardNetwork.Builder	FeedForwardNetwork.builder()	Returns a builder for the FeedForwardNetwork
FeedForwardNetwork.Builder	FeedForwardNetwork.Builder.hiddenActivationFunction(ActivationType activationType)	Sets default type of the activation function to use for all hidden layers in the network.
FeedForwardNetwork.Builder	FeedForwardNetwork.Builder.lossFunction(LossType lossType)	Sets loss function to be used by created neural network.
FeedForwardNetwork.Builder	FeedForwardNetwork.Builder.randomSeed(long seed)	Initializes random number generator with the specified seed in order to get same random number sequences used for weights initialization.