Package deepnetts.net.loss

Commonly used loss functions, which are used to calculate error during the training as a difference between predicted and target output.

See: Description

Interface Summary

Interface	Description
LossFunction	Base Interface for all loss functions.

Class Summary

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

Enum Summary

Enum	Description
LossType	Supported types of Loss Functions in Deep Netts engine.

Package deepnetts.net.loss Description

Commonly used loss functions, which are used to calculate error during the training as a difference between predicted and target output.