Uses of Package
deepnetts.net.train
Packages that use deepnetts.net.train
Package
Description
Support for automatically building deep learning models using hyper-parameter search.
Neural network architectures with their corresponding builders.
Training algorithms and related utilities.
Optimization methods used by training algorithm.
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Classes in deepnetts.net.train used by deepnetts.automlClassDescriptionThe listener interface for receiving notifications about training events.All information about the completed training including training settings, epochs, loss and evaluation metrics.
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Classes in deepnetts.net.train used by deepnetts.netClassDescriptionBackpropagation training algorithm for feed forward and convolutional neural networks.Generic interface for deep learning training algorithm.This interface is implemented by trainable deep learning models, in order to provide access to training algorithm.
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Classes in deepnetts.net.train used by deepnetts.net.trainClassDescriptionBackpropagation 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.Generic interface for deep learning training algorithm.TrainingEvent is used to notify interested parties that training event has happened.Type of a training event.The listener interface for receiving notifications about training events.All information about the completed training including training settings, epochs, loss and evaluation metrics.
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Classes in deepnetts.net.train used by deepnetts.net.train.optClassDescriptionTrainingEvent is used to notify interested parties that training event has happened.The listener interface for receiving notifications about training events.