Uses of Interface
deepnetts.net.loss.LossFunction

Packages that use LossFunction

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

Methods in deepnetts.net that return LossFunction

Modifier and Type	Method and Description
LossFunction	NeuralNetwork.getLossFunction() Returns a loss function of this network, which is used to calculate total network error during the training.

Methods in deepnetts.net with parameters of type LossFunction

Modifier and Type	Method and Description
void	NeuralNetwork.setLossFunction(LossFunction lossFunction) Sets a loss function of this network, which is used to calculate total network error during the training.

Method parameters in deepnetts.net with type arguments of type LossFunction

Modifier and Type	Method and Description
ConvolutionalNetwork.Builder	ConvolutionalNetwork.Builder.lossFunction(Class<? extends LossFunction> clazz)

Uses of LossFunction in deepnetts.net.loss

Classes in deepnetts.net.loss that implement LossFunction

Modifier and Type	Class and Description
class	BinaryCrossEntropyLoss Cross Entropy Loss is a loss function used for binary classification tasks (two classes, single output which represents probability ).
class	CrossEntropyLoss Average Cross Entropy Loss function commonly used for multi class classification problems.
class	MeanSquaredErrorLoss Mean Squared Error Loss function.