Package deepnetts.net.train

package deepnetts.net.train

Training algorithms and related utilities.

Related Packages

Package	Description
deepnetts.net	Neural network architectures with their corresponding builders.
deepnetts.net.train.opt	Optimization methods used by training algorithm.
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.
deepnetts.net.weights	Weights randomization techniques, used for initializing layer's internal parameters.

Class	Description
BackpropagationTrainer	Backpropagation training algorithm for feed forward and convolutional neural networks.
KFoldCrossValidation	Split data set into k parts of equal sizes (folds), then train model with k-1 folds, and validate with remaining 1 fold.
KFoldCrossValidation.Builder	Builder object for KFoldCrossValidation.
Trainer	Generic interface for deep learning training algorithm.
TrainerProvider<T extends Trainer>	This interface is implemented by trainable deep learning models, in order to provide access to training algorithm.
TrainingEvent	TrainingEvent is used to notify interested parties that training event has happened.
TrainingEvent.Type	Type of a training event.
TrainingListener	The listener interface for receiving notifications about training events.
TrainingResult	All information about the completed training including training settings, epochs, loss and evaluation metrics.