Uses of Class
deepnetts.net.loss.LossType

Packages that use LossType

Package	Description
deepnetts.automl	Support for automatically building deep learning models using hyper-parameter search.
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.loss	Commonly used loss functions, which are used to calculate error during the training as a difference between predicted and target output.

Uses of LossType in deepnetts.automl

Methods in deepnetts.automl with parameters of type LossType

Modifier and Type	Method and Description
void	FeedForwardNetworkFactory.setLossType(LossType lossType)

Uses of LossType in deepnetts.net

Methods in deepnetts.net with parameters of type LossType

Modifier and Type	Method and Description
ConvolutionalNetwork.Builder	ConvolutionalNetwork.Builder.lossFunction(LossType lossType) Sets loss function to be used by created neural network.
FeedForwardNetwork.Builder	FeedForwardNetwork.Builder.lossFunction(LossType lossType) Sets loss function to be used by created neural network.

Uses of LossType in deepnetts.net.layers

Methods in deepnetts.net.layers that return LossType

Modifier and Type	Method and Description
LossType	OutputLayer.getLossType()

Methods in deepnetts.net.layers with parameters of type LossType

Modifier and Type	Method and Description
void	OutputLayer.setLossType(LossType lossType)

Uses of LossType in deepnetts.net.loss

Methods in deepnetts.net.loss that return LossType

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