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.netClassDescriptionGeneric 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.