Uses of Enum Class
deepnetts.net.layers.activation.ActivationType
Packages that use ActivationType
Package
Description
Support for automatically building deep learning models using hyper-parameter search.
Neural network architectures with their corresponding builders.
Neural network layers, which are main building blocks of a neural network.
Activation functions for neural network layers.
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Uses of ActivationType in deepnetts.automl
Methods in deepnetts.automl with parameters of type ActivationTypeModifier and TypeMethodDescriptionvoid
FeedForwardNetworkFactory.setHiddenActivation
(ActivationType hiddenActivation) void
FeedForwardNetworkFactory.setOutputActivation
(ActivationType outputActivation) -
Uses of ActivationType in deepnetts.cudnn
Methods in deepnetts.cudnn with parameters of type ActivationTypeModifier and TypeMethodDescriptionstatic int
CudaUtils.getCudnnActivation
(ActivationType actType) -
Uses of ActivationType in deepnetts.net
Methods in deepnetts.net with parameters of type ActivationTypeModifier and TypeMethodDescriptionConvolutionalNetwork.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.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.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.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.addFullyConnectedLayer
(int layerWidth, ActivationType activationType) Adds fully connected layer with specified width and activation function.FeedForwardNetwork.Builder.addFullyConnectedLayer
(int layerWidth, ActivationType activationType) Adds fully connected addLayer with specified width and activation function to the network.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.addOutputLayer
(int layerWidth, ActivationType activationType) Adds output layer to the neural network with specified width (number of outputs) and activation function type.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.hiddenActivationFunction
(ActivationType activationType) Sets default type of the activation function to use for all hidden layers in the network.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 ActivationTypeConstructors in deepnetts.net.layers with parameters of type ActivationTypeModifierConstructorDescriptionAbstractLayer
(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 ActivationTypeModifier and TypeMethodDescriptionstatic ActivationType
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 ActivationTypeModifier and TypeMethodDescriptionstatic ActivationFunction
ActivationFunction.create
(ActivationType type) Creates and returns specified type of activation function.