Uses of Enum Class
deepnetts.net.layers.activation.ActivationType

Packages that use ActivationType

Package	Description
deepnetts.automl	Support for automatically building deep learning models using hyper-parameter search.
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.layers.activation	Activation functions for neural network layers.

Uses of ActivationType in deepnetts.automl

Methods in deepnetts.automl with parameters of type ActivationType

Modifier and Type	Method	Description
void	FeedForwardNetworkFactory.setHiddenActivation(ActivationType hiddenActivation)
void	FeedForwardNetworkFactory.setOutputActivation(ActivationType outputActivation)

Uses of ActivationType in deepnetts.cudnn

Methods in deepnetts.cudnn with parameters of type ActivationType

Modifier and Type	Method	Description
static int	CudaUtils.getCudnnActivation(ActivationType actType)

Uses of ActivationType in deepnetts.net

Methods in deepnetts.net with parameters of type ActivationType

Modifier and Type	Method	Description
ConvolutionalNetwork.Builder	ConvolutionalNetwork.Builder.addConvolutionalLayer(int channelNum, int filterWidth, int filterHeight, int stride, ActivationType activationType)	Adds a convolutional layer with the given width and height of convolutional filters, given number of channels(filters) and stride(filter step), and given type of activation function.
ConvolutionalNetwork.Builder	ConvolutionalNetwork.Builder.addConvolutionalLayer(int channelNum, int filterSize, ActivationType activationType)	Adds a convolutional layer with the given number of channels(filters), with given filter size (same width and height) and given type of activation function.
ConvolutionalNetwork.Builder	ConvolutionalNetwork.Builder.addConvolutionalLayer(int channelNum, ActivationType activationType)	Adds a convolutional layer with the given number of channels(filters), with given activation function type and default 3x3 filter size.
ConvolutionalNetwork.Builder	ConvolutionalNetwork.Builder.addConvolutionalLayer(int channelNum, Filter filter, ActivationType activationType)	Adds a convolutional layer with the given number of channels(filters), with given settings of a convolutional filter and given type of activation function.
ConvolutionalNetwork.Builder	ConvolutionalNetwork.Builder.addFullyConnectedLayer(int layerWidth, ActivationType activationType)	Adds fully connected layer with specified width and activation function.
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(ActivationType activationType, int... layerWidths)	Adds fully connected hidden layers with widths given in layerWidths param and given activation function type.
ConvolutionalNetwork.Builder	ConvolutionalNetwork.Builder.addOutputLayer(int layerWidth, ActivationType activationType)	Adds output layer to the neural network with specified width (number of outputs) and activation function type.
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.
ConvolutionalNetwork.Builder	ConvolutionalNetwork.Builder.hiddenActivationFunction(ActivationType activationType)	Sets default type of the activation function to use for all hidden layers in the network.
FeedForwardNetwork.Builder	FeedForwardNetwork.Builder.hiddenActivationFunction(ActivationType activationType)	Sets default type of the activation function to use for all hidden layers in the network.

Uses of ActivationType in deepnetts.net.layers

Methods in deepnetts.net.layers that return ActivationType

Modifier and Type	Method	Description
ActivationType	AbstractLayer.getActivationType()

Constructors in deepnetts.net.layers with parameters of type ActivationType

Modifier	Constructor	Description
	AbstractLayer(ActivationType activationType)
	ConvolutionalLayer(int channels, int filterWidth, int filterHeight, int stride, ActivationType activationType)
	ConvolutionalLayer(int channels, Filter filter, ActivationType activationType)
	FullyConnectedLayer(int size, ActivationType actType)	Creates an instance of fully connected layer with specified width (number of neurons) and activation function type.
	OutputLayer(int width, ActivationType actType)	Creates an instance of output layer with specified width (number of outputs) and specified activation function.
	OutputLayer(String[] outputLabels, ActivationType actType)	Creates an instance of output layer with specified width (number of outputs) and linear activation function by default.

Uses of ActivationType in deepnetts.net.layers.activation

Methods in deepnetts.net.layers.activation that return ActivationType

Modifier and Type	Method	Description
static ActivationType	ActivationType.valueOf(String name)	Returns the enum constant of this class with the specified name.
static ActivationType[]	ActivationType.values()	Returns an array containing the constants of this enum class, in the order they are declared.

Methods in deepnetts.net.layers.activation with parameters of type ActivationType

Modifier and Type	Method	Description
static ActivationFunction	ActivationFunction.create(ActivationType type)	Creates and returns specified type of activation function.