Package | Description |
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org.deeplearning4j.datasets.fetchers | |
org.deeplearning4j.datasets.iterator.impl |
Modifier and Type | Method and Description |
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static DataSetType |
DataSetType.valueOf(String name)
Returns the enum constant of this type with the specified name.
|
static DataSetType[] |
DataSetType.values()
Returns an array containing the constants of this enum type, in
the order they are declared.
|
Modifier and Type | Method and Description |
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String |
CacheableExtractableDataSetFetcher.dataSetName(DataSetType set) |
String |
SvhnDataFetcher.dataSetName(DataSetType set) |
void |
CacheableExtractableDataSetFetcher.downloadAndExtract(DataSetType set)
Downloads and extracts the local dataset.
|
long |
Cifar10Fetcher.expectedChecksum(DataSetType set) |
long |
SvhnDataFetcher.expectedChecksum(DataSetType set) |
long |
TinyImageNetFetcher.expectedChecksum(DataSetType set) |
long |
UciSequenceDataFetcher.expectedChecksum(DataSetType type) |
File |
SvhnDataFetcher.getDataSetPath(DataSetType set) |
CSVSequenceRecordReader |
UciSequenceDataFetcher.getRecordReader(long rngSeed,
DataSetType set) |
RecordReader |
Cifar10Fetcher.getRecordReader(long rngSeed,
int[] imgDim,
DataSetType set,
ImageTransform imageTransform) |
RecordReader |
SvhnDataFetcher.getRecordReader(long rngSeed,
int[] imgDim,
DataSetType set,
ImageTransform imageTransform) |
RecordReader |
TinyImageNetFetcher.getRecordReader(long rngSeed,
int[] imgDim,
DataSetType set,
ImageTransform imageTransform) |
CSVSequenceRecordReader |
UciSequenceDataFetcher.getRecordReader(long rngSeed,
int[] shape,
DataSetType set,
ImageTransform transform) |
String |
Cifar10Fetcher.remoteDataUrl(DataSetType set) |
String |
SvhnDataFetcher.remoteDataUrl(DataSetType set) |
String |
TinyImageNetFetcher.remoteDataUrl(DataSetType set) |
String |
UciSequenceDataFetcher.remoteDataUrl(DataSetType type) |
Constructor and Description |
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Cifar10DataSetIterator(int batchSize,
DataSetType set)
* Create an iterator for the training or test set, with random iteration order (RNG seed fixed to 123)
|
Cifar10DataSetIterator(int batchSize,
int[] imgDim,
DataSetType set)
Get the Tiny ImageNet iterator with specified train/test set, with random iteration order (RNG seed fixed to 123)
|
Cifar10DataSetIterator(int batchSize,
int[] imgDim,
DataSetType set,
ImageTransform imageTransform,
long rngSeed)
Get the Tiny ImageNet iterator with specified train/test set and (optional) custom transform.
|
TinyImageNetDataSetIterator(int batchSize,
DataSetType set)
* Create an iterator for the training or test set, with random iteration order (RNG seed fixed to 123)
|
TinyImageNetDataSetIterator(int batchSize,
int[] imgDim,
DataSetType set)
Get the Tiny ImageNet iterator with specified train/test set, with random iteration order (RNG seed fixed to 123)
|
TinyImageNetDataSetIterator(int batchSize,
int[] imgDim,
DataSetType set,
ImageTransform imageTransform,
long rngSeed)
Get the Tiny ImageNet iterator with specified train/test set and (optional) custom transform.
|
UciSequenceDataSetIterator(int batchSize,
DataSetType set)
Create an iterator for the training or test set, with the specified minibatch size.
|
UciSequenceDataSetIterator(int batchSize,
DataSetType set,
long rngSeed)
Create an iterator for the training or test set, with the specified minibatch size
|
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