Package deepnetts.net.loss

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.

Related Packages

Package	Description
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.train	Training algorithms and related utilities.
deepnetts.net.weights	Weights randomization techniques, used for initializing layer's internal parameters.

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.
LossFunction	Base Interface for all loss functions.
LossType	Supported types of Loss Functions in Deep Netts engine.
MeanSquaredErrorLoss	Mean Squared Error Loss function.