Package | Description |
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deepnetts.automl |
Support for automatically building deep learning models using hyper-parameter search.
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deepnetts.net |
Neural network architectures with their corresponding builders.
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deepnetts.net.train |
Training algorithms and related utilities.
|
deepnetts.net.train.opt |
Optimization methods used by training algorithm.
|
Class and Description |
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TrainingListener
The listener interface for receiving notifications about training events.
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TrainingResult
All information about the completed training including training settings, epochs, loss and evaluation metrics.
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Class and Description |
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Trainer
Generic interface for deep learning training algorithm.
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TrainerProvider
This interface is implemented by trainable deep learning models,
in order to provide access to training algorithm.
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Class and Description |
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BackpropagationTrainer
Backpropagation training algorithm for feed forward and convolutional neural networks.
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KFoldCrossValidation
Split data set into k parts of equal sizes (folds), then
train model with k-1 folds, and validate with remaining 1 fold.
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KFoldCrossValidation.Builder
Builder object for KFoldCrossValidation.
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Trainer
Generic interface for deep learning training algorithm.
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TrainingEvent
TrainingEvent is used to notify interested parties that training event has happened.
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TrainingEvent.Type
Type of a training event.
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TrainingListener
The listener interface for receiving notifications about training events.
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TrainingResult
All information about the completed training including training settings, epochs, loss and evaluation metrics.
|
Class and Description |
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TrainingEvent
TrainingEvent is used to notify interested parties that training event has happened.
|
TrainingListener
The listener interface for receiving notifications about training events.
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