Interface | Description |
---|---|
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.
|
TrainingListener |
The listener interface for receiving notifications about training events.
|
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.
|
TrainingEvent |
TrainingEvent is used to notify interested parties that training event has happened.
|
TrainingResult |
All information about the completed training including training settings, epochs, loss and evaluation metrics.
|
Enum | Description |
---|---|
TrainingEvent.Type |
Type of a training event.
|
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