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.
The listener interface for receiving notifications about training events.
Backpropagation training algorithm for feed forward and convolutional neural networks.
Split data set into k parts of equal sizes (folds), then train model with k-1 folds, and validate with remaining 1 fold.
Builder object for KFoldCrossValidation.
TrainingEvent is used to notify interested parties that training event has happened.
All information about the completed training including training settings, epochs, loss and evaluation metrics.
Type of a training event.
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