| Package | Description |
|---|---|
| org.nd4j.autodiff.listeners.impl | |
| org.nd4j.autodiff.samediff | |
| org.nd4j.autodiff.samediff.config |
| Modifier and Type | Method and Description |
|---|---|
History |
HistoryListener.getReport() |
| Modifier and Type | Method and Description |
|---|---|
History |
SameDiff.fit(DataSetIterator iter,
int numEpochs,
DataSetIterator validationIter,
int validationFrequency,
Listener... listeners)
Fit the SameDiff instance based on DataSetIterator for the specified number of epochs.
This method can only be used for singe input, single output SameDiff instances as DataSet only supports a single input and a single output. Note that a TrainingConfig must be set via SameDiff.setTrainingConfig(TrainingConfig) before training can
be performed. |
History |
SameDiff.fit(DataSetIterator iter,
int numEpochs,
Listener... listeners)
See
SameDiff.fit(DataSetIterator, int, DataSetIterator, int, Listener...), does not preform validation. |
History |
SameDiff.fit(DataSet dataSet,
Listener... listeners)
Fit the SameDiff instance based on a single DataSet (i.e., a single minibatch for one iteration).
This method can only be used for singe input, single output SameDiff instances as DataSet only supports a single input and a single output. Note that a TrainingConfig must be set via SameDiff.setTrainingConfig(TrainingConfig) before training can
be performed. |
protected History |
SameDiff.fit(MultiDataSetIterator iter,
int numEpochs,
boolean incrementEpochCount,
MultiDataSetIterator validationData,
int validationFrequency,
Listener... listeners) |
History |
SameDiff.fit(MultiDataSetIterator iter,
int numEpochs,
Listener... listeners)
See
SameDiff.fit(MultiDataSetIterator, int, MultiDataSetIterator, int, Listener...), does not preform validation. |
History |
SameDiff.fit(MultiDataSetIterator iter,
int numEpochs,
MultiDataSetIterator validationIter,
int validationFrequency,
Listener... listeners)
Fit the SameDiff instance based on MultiDataSetIterator for the specified number of epochs.
This method can both singe input, single output and multi-input, multi-output SameDiff instances Note that a TrainingConfig must be set via SameDiff.setTrainingConfig(TrainingConfig) before training can
be performed. |
History |
SameDiff.fit(MultiDataSet dataSet,
Listener... listeners)
Fit the SameDiff instance based on a single MultiDataSet (i.e., a single minibatch for one iteration).
Note that a TrainingConfig must be set via SameDiff.setTrainingConfig(TrainingConfig) before training can
be performed. |
protected History |
SameDiff.fitHelper(MultiDataSetIterator iter,
int numEpochs,
boolean incrementEpochCount,
MultiDataSetIterator validationData,
int validationFrequency,
List<Listener> listeners) |
| Modifier and Type | Method and Description |
|---|---|
History |
FitConfig.exec()
Do the training.
|
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