Index (deeplearning4j-datasets 1.0.0-M2.1 API)

B C D E F G I L M N O P R S T U V W
All Classes All Packages

B

batch - Variable in class org.deeplearning4j.datasets.iterator.impl.EmnistDataSetIterator
binarize - Variable in class org.deeplearning4j.datasets.fetchers.MnistDataFetcher

C

CacheableExtractableDataSetFetcher - Class in org.deeplearning4j.datasets.fetchers
CacheableExtractableDataSetFetcher() - Constructor for class org.deeplearning4j.datasets.fetchers.CacheableExtractableDataSetFetcher
CHECKSUM_TEST_FEATURES - Static variable in class org.deeplearning4j.datasets.fetchers.MnistDataFetcher
CHECKSUM_TEST_LABELS - Static variable in class org.deeplearning4j.datasets.fetchers.MnistDataFetcher
CHECKSUM_TRAIN_FEATURES - Static variable in class org.deeplearning4j.datasets.fetchers.MnistDataFetcher
CHECKSUM_TRAIN_LABELS - Static variable in class org.deeplearning4j.datasets.fetchers.MnistDataFetcher
CHECKSUMS_TEST - Static variable in class org.deeplearning4j.datasets.fetchers.MnistDataFetcher
CHECKSUMS_TRAIN - Static variable in class org.deeplearning4j.datasets.fetchers.MnistDataFetcher
Cifar10DataSetIterator - Class in org.deeplearning4j.datasets.iterator.impl
Cifar10DataSetIterator(int) - Constructor for class org.deeplearning4j.datasets.iterator.impl.Cifar10DataSetIterator: Create an iterator for the training set, with random iteration order (RNG seed fixed to 123)
Cifar10DataSetIterator(int, int[], DataSetType) - Constructor for class org.deeplearning4j.datasets.iterator.impl.Cifar10DataSetIterator: Get the Tiny ImageNet iterator with specified train/test set, with random iteration order (RNG seed fixed to 123)
Cifar10DataSetIterator(int, int[], DataSetType, ImageTransform, long) - Constructor for class org.deeplearning4j.datasets.iterator.impl.Cifar10DataSetIterator: Get the Tiny ImageNet iterator with specified train/test set and (optional) custom transform.
Cifar10DataSetIterator(int, DataSetType) - Constructor for class org.deeplearning4j.datasets.iterator.impl.Cifar10DataSetIterator: * Create an iterator for the training or test set, with random iteration order (RNG seed fixed to 123)
Cifar10Fetcher - Class in org.deeplearning4j.datasets.fetchers
Cifar10Fetcher() - Constructor for class org.deeplearning4j.datasets.fetchers.Cifar10Fetcher
close() - Method in class org.deeplearning4j.datasets.fetchers.MnistDataFetcher
close() - Method in class org.deeplearning4j.datasets.iterator.impl.MnistDataSetIterator
close() - Method in class org.deeplearning4j.datasets.mnist.MnistManager: Close any resources opened by the manager.

D

dataSet - Variable in class org.deeplearning4j.datasets.iterator.impl.EmnistDataSetIterator
dataSetName(DataSetType) - Method in class org.deeplearning4j.datasets.fetchers.CacheableExtractableDataSetFetcher
dataSetName(DataSetType) - Method in class org.deeplearning4j.datasets.fetchers.SvhnDataFetcher
DataSetType - Enum in org.deeplearning4j.datasets.fetchers
deleteIfEmpty(File) - Static method in class org.deeplearning4j.datasets.fetchers.CacheableExtractableDataSetFetcher
downloadAndExtract() - Method in class org.deeplearning4j.datasets.fetchers.CacheableExtractableDataSetFetcher
downloadAndExtract(DataSetType) - Method in class org.deeplearning4j.datasets.fetchers.CacheableExtractableDataSetFetcher: Downloads and extracts the local dataset.
downloadAndUntar() - Method in class org.deeplearning4j.datasets.base.EmnistFetcher
downloadAndUntar() - Method in class org.deeplearning4j.datasets.base.MnistFetcher

E

EmnistDataFetcher - Class in org.deeplearning4j.datasets.fetchers
EmnistDataFetcher(EMnistSet, boolean, boolean, boolean, long) - Constructor for class org.deeplearning4j.datasets.fetchers.EmnistDataFetcher
EmnistDataFetcher(EMnistSet, boolean, boolean, boolean, long, File) - Constructor for class org.deeplearning4j.datasets.fetchers.EmnistDataFetcher
EmnistDataSetIterator - Class in org.deeplearning4j.datasets.iterator.impl
EmnistDataSetIterator(EMnistSet, int, boolean) - Constructor for class org.deeplearning4j.datasets.iterator.impl.EmnistDataSetIterator: Create an EMNIST iterator with randomly shuffled data based on a random RNG seed
EmnistDataSetIterator(EMnistSet, int, boolean, boolean, boolean, long) - Constructor for class org.deeplearning4j.datasets.iterator.impl.EmnistDataSetIterator: Get the specified number of MNIST examples (test or train set), with optional shuffling and binarization.
EmnistDataSetIterator(EMnistSet, int, boolean, boolean, boolean, long, File) - Constructor for class org.deeplearning4j.datasets.iterator.impl.EmnistDataSetIterator: Get the specified number of MNIST examples (test or train set), with optional shuffling and binarization.
EmnistDataSetIterator(EMnistSet, int, boolean, long) - Constructor for class org.deeplearning4j.datasets.iterator.impl.EmnistDataSetIterator: Create an EMNIST iterator with randomly shuffled data based on a specified RNG seed
EmnistFetcher - Class in org.deeplearning4j.datasets.base
EmnistFetcher() - Constructor for class org.deeplearning4j.datasets.base.EmnistFetcher
EmnistFetcher(EMnistSet) - Constructor for class org.deeplearning4j.datasets.base.EmnistFetcher
EmnistFetcher(EMnistSet, File) - Constructor for class org.deeplearning4j.datasets.base.EmnistFetcher
expectedChecksum() - Method in class org.deeplearning4j.datasets.fetchers.CacheableExtractableDataSetFetcher
expectedChecksum() - Method in class org.deeplearning4j.datasets.fetchers.UciSequenceDataFetcher
expectedChecksum(DataSetType) - Method in class org.deeplearning4j.datasets.fetchers.Cifar10Fetcher
expectedChecksum(DataSetType) - Method in class org.deeplearning4j.datasets.fetchers.SvhnDataFetcher
expectedChecksum(DataSetType) - Method in class org.deeplearning4j.datasets.fetchers.TinyImageNetFetcher
expectedChecksum(DataSetType) - Method in class org.deeplearning4j.datasets.fetchers.UciSequenceDataFetcher

F

fetch(int) - Method in class org.deeplearning4j.datasets.fetchers.IrisDataFetcher
fetch(int) - Method in class org.deeplearning4j.datasets.fetchers.MnistDataFetcher
fetcher - Variable in class org.deeplearning4j.datasets.fetchers.EmnistDataFetcher
fileDir - Variable in class org.deeplearning4j.datasets.base.MnistFetcher
firstShuffle - Variable in class org.deeplearning4j.datasets.fetchers.MnistDataFetcher
fOrder - Variable in class org.deeplearning4j.datasets.fetchers.MnistDataFetcher

G

getBaseDir() - Method in class org.deeplearning4j.datasets.base.MnistFetcher
getCols() - Method in class org.deeplearning4j.datasets.mnist.MnistImageFile: Number of columns per image.
getCount() - Method in class org.deeplearning4j.datasets.mnist.MnistDbFile
getCurrent() - Method in class org.deeplearning4j.datasets.mnist.MnistManager
getCurrentIndex() - Method in class org.deeplearning4j.datasets.mnist.MnistDbFile: The current entry index.
getDataSetPath(DataSetType) - Method in class org.deeplearning4j.datasets.fetchers.SvhnDataFetcher
getEntryLength() - Method in class org.deeplearning4j.datasets.mnist.MnistDbFile: Number of bytes for each entry.
getEntryLength() - Method in class org.deeplearning4j.datasets.mnist.MnistImageFile
getHeaderSize() - Method in class org.deeplearning4j.datasets.mnist.MnistDbFile
getHeaderSize() - Method in class org.deeplearning4j.datasets.mnist.MnistImageFile
getImages() - Method in class org.deeplearning4j.datasets.mnist.MnistManager: Get the underlying images file as MnistImageFile.
getLabels() - Method in class org.deeplearning4j.datasets.iterator.impl.EmnistDataSetIterator: Get the labels as a List
getLabels() - Method in class org.deeplearning4j.datasets.mnist.MnistManager: Get the underlying labels file as MnistLabelFile.
getLabels(boolean) - Static method in class org.deeplearning4j.datasets.iterator.impl.Cifar10DataSetIterator: Get the labels - either in "categories" (imagenet synsets format, "n01910747" or similar) or human-readable format, such as "jellyfish"
getLabels(boolean) - Static method in class org.deeplearning4j.datasets.iterator.impl.TinyImageNetDataSetIterator: Get the labels - either in "categories" (imagenet synsets format, "n01910747" or similar) or human-readable format, such as "jellyfish"
getLabels(EMnistSet) - Static method in class org.deeplearning4j.datasets.iterator.impl.EmnistDataSetIterator: Get the label assignments for the given set as a List
getLabelsArray(EMnistSet) - Static method in class org.deeplearning4j.datasets.iterator.impl.EmnistDataSetIterator: Get the label assignments for the given set as a character array.
getLabelsArrays() - Method in class org.deeplearning4j.datasets.iterator.impl.EmnistDataSetIterator: Get the labels as a character array
getLocalCacheDir() - Method in class org.deeplearning4j.datasets.fetchers.CacheableExtractableDataSetFetcher
getMagicNumber() - Method in class org.deeplearning4j.datasets.mnist.MnistDbFile: MNIST DB files start with unique integer number.
getMagicNumber() - Method in class org.deeplearning4j.datasets.mnist.MnistImageFile
getMagicNumber() - Method in class org.deeplearning4j.datasets.mnist.MnistLabelFile
getName() - Method in class org.deeplearning4j.datasets.base.EmnistFetcher
getName() - Method in class org.deeplearning4j.datasets.base.MnistFetcher
getRecordReader(long, int[], DataSetType, ImageTransform) - Method in class org.deeplearning4j.datasets.fetchers.Cifar10Fetcher
getRecordReader(long, int[], DataSetType, ImageTransform) - Method in class org.deeplearning4j.datasets.fetchers.SvhnDataFetcher
getRecordReader(long, int[], DataSetType, ImageTransform) - Method in class org.deeplearning4j.datasets.fetchers.TinyImageNetFetcher
getRecordReader(long, int[], DataSetType, ImageTransform) - Method in class org.deeplearning4j.datasets.fetchers.UciSequenceDataFetcher
getRecordReader(long, DataSetType) - Method in class org.deeplearning4j.datasets.fetchers.UciSequenceDataFetcher
getRows() - Method in class org.deeplearning4j.datasets.mnist.MnistImageFile: Number of rows per image.

I

images - Variable in class org.deeplearning4j.datasets.fetchers.MnistDataFetcher
INPUT_CHANNELS - Static variable in class org.deeplearning4j.datasets.fetchers.Cifar10Fetcher
INPUT_CHANNELS - Static variable in class org.deeplearning4j.datasets.fetchers.TinyImageNetFetcher
INPUT_HEIGHT - Static variable in class org.deeplearning4j.datasets.fetchers.Cifar10Fetcher
INPUT_HEIGHT - Static variable in class org.deeplearning4j.datasets.fetchers.TinyImageNetFetcher
INPUT_WIDTH - Static variable in class org.deeplearning4j.datasets.fetchers.Cifar10Fetcher
INPUT_WIDTH - Static variable in class org.deeplearning4j.datasets.fetchers.TinyImageNetFetcher
IrisDataFetcher - Class in org.deeplearning4j.datasets.fetchers
IrisDataFetcher() - Constructor for class org.deeplearning4j.datasets.fetchers.IrisDataFetcher
IrisDataSetIterator - Class in org.deeplearning4j.datasets.iterator.impl
IrisDataSetIterator() - Constructor for class org.deeplearning4j.datasets.iterator.impl.IrisDataSetIterator: Create an iris iterator for full batch training - i.e., all 150 examples are included per minibatch
IrisDataSetIterator(int, int) - Constructor for class org.deeplearning4j.datasets.iterator.impl.IrisDataSetIterator: IrisDataSetIterator handles traversing through the Iris Data Set.
IrisUtils - Class in org.deeplearning4j.datasets.base
isBalanced(EMnistSet) - Static method in class org.deeplearning4j.datasets.iterator.impl.EmnistDataSetIterator: Are the labels balanced in the training set (that is: are the number of examples for each label equal?)
isCached() - Method in class org.deeplearning4j.datasets.fetchers.CacheableExtractableDataSetFetcher: Returns a boolean indicating if the dataset is already cached locally.

L

labels - Variable in class org.deeplearning4j.datasets.fetchers.MnistDataFetcher
LABELS_FILENAME - Static variable in class org.deeplearning4j.datasets.fetchers.Cifar10Fetcher
LFWDataSetIterator - Class in org.deeplearning4j.datasets.iterator.impl
LFWDataSetIterator(int[]) - Constructor for class org.deeplearning4j.datasets.iterator.impl.LFWDataSetIterator: Loads subset of images with given imgDim returned by the generator.
LFWDataSetIterator(int, int) - Constructor for class org.deeplearning4j.datasets.iterator.impl.LFWDataSetIterator: Loads images with given batchSize, numExamples returned by the generator.
LFWDataSetIterator(int, int[], boolean) - Constructor for class org.deeplearning4j.datasets.iterator.impl.LFWDataSetIterator: Loads images with given batchSize, imgDim, useSubset, returned by the generator.
LFWDataSetIterator(int, int, int[]) - Constructor for class org.deeplearning4j.datasets.iterator.impl.LFWDataSetIterator: Loads images with given batchSize, numExamples, imgDim returned by the generator.
LFWDataSetIterator(int, int, int[], boolean, double) - Constructor for class org.deeplearning4j.datasets.iterator.impl.LFWDataSetIterator: Loads images with given batchSize, numExamples, imgDim, train, & splitTrainTest returned by the generator.
LFWDataSetIterator(int, int, int[], int, boolean, boolean, double, Random) - Constructor for class org.deeplearning4j.datasets.iterator.impl.LFWDataSetIterator: Loads images with given batchSize, numExamples, imgDim, numLabels, useSubset, train, splitTrainTest & Random returned by the generator.
LFWDataSetIterator(int, int, int[], int, boolean, PathLabelGenerator, boolean, double, Random) - Constructor for class org.deeplearning4j.datasets.iterator.impl.LFWDataSetIterator: Loads images with given batchSize, numExamples, imgDim, numLabels, useSubset, train, splitTrainTest & Random returned by the generator.
LFWDataSetIterator(int, int, int[], int, boolean, PathLabelGenerator, boolean, double, ImageTransform, Random) - Constructor for class org.deeplearning4j.datasets.iterator.impl.LFWDataSetIterator: Create LFW data specific iterator
LFWDataSetIterator(int, int, int, boolean, double) - Constructor for class org.deeplearning4j.datasets.iterator.impl.LFWDataSetIterator: Loads images with given batchSize, numExamples, numLabels, train, & splitTrainTest returned by the generator.
loadIris(int, int) - Static method in class org.deeplearning4j.datasets.base.IrisUtils
LOCAL_CACHE_NAME - Static variable in class org.deeplearning4j.datasets.fetchers.Cifar10Fetcher
LOCAL_CACHE_NAME - Static variable in class org.deeplearning4j.datasets.fetchers.TinyImageNetFetcher
LOCAL_DIR_NAME - Static variable in class org.deeplearning4j.datasets.base.MnistFetcher
localCacheName() - Method in class org.deeplearning4j.datasets.fetchers.Cifar10Fetcher
localCacheName() - Method in class org.deeplearning4j.datasets.fetchers.SvhnDataFetcher
localCacheName() - Method in class org.deeplearning4j.datasets.fetchers.TinyImageNetFetcher
localCacheName() - Method in class org.deeplearning4j.datasets.fetchers.UciSequenceDataFetcher

M

manager - Variable in class org.deeplearning4j.datasets.fetchers.MnistDataFetcher
MnistDataFetcher - Class in org.deeplearning4j.datasets.fetchers
MnistDataFetcher() - Constructor for class org.deeplearning4j.datasets.fetchers.MnistDataFetcher
MnistDataFetcher(boolean) - Constructor for class org.deeplearning4j.datasets.fetchers.MnistDataFetcher: Constructor telling whether to binarize the dataset or not
MnistDataFetcher(boolean, boolean, boolean, long, int) - Constructor for class org.deeplearning4j.datasets.fetchers.MnistDataFetcher
MnistDataFetcher(boolean, boolean, boolean, long, int, File) - Constructor for class org.deeplearning4j.datasets.fetchers.MnistDataFetcher
MnistDataSetIterator - Class in org.deeplearning4j.datasets.iterator.impl
MnistDataSetIterator(int, boolean, int) - Constructor for class org.deeplearning4j.datasets.iterator.impl.MnistDataSetIterator: Constructor to get the full MNIST data set (either test or train sets) without binarization (i.e., just normalization into range of 0 to 1), with shuffling based on a random seed.
MnistDataSetIterator(int, int) - Constructor for class org.deeplearning4j.datasets.iterator.impl.MnistDataSetIterator
MnistDataSetIterator(int, int, boolean) - Constructor for class org.deeplearning4j.datasets.iterator.impl.MnistDataSetIterator: Get the specified number of examples for the MNIST training data set.
MnistDataSetIterator(int, int, boolean, boolean, boolean, long) - Constructor for class org.deeplearning4j.datasets.iterator.impl.MnistDataSetIterator: Get the specified number of MNIST examples (test or train set), with optional shuffling and binarization.
MnistDataSetIterator(int, int, boolean, boolean, boolean, long, File) - Constructor for class org.deeplearning4j.datasets.iterator.impl.MnistDataSetIterator: Get the specified number of MNIST examples (test or train set), with optional shuffling and binarization.
MnistDbFile - Class in org.deeplearning4j.datasets.mnist
MnistDbFile(String, String) - Constructor for class org.deeplearning4j.datasets.mnist.MnistDbFile: Creates new instance and reads the header information.
MnistFetcher - Class in org.deeplearning4j.datasets.base
MnistFetcher(File) - Constructor for class org.deeplearning4j.datasets.base.MnistFetcher
MnistImageFile - Class in org.deeplearning4j.datasets.mnist
MnistImageFile(String, String) - Constructor for class org.deeplearning4j.datasets.mnist.MnistImageFile: Creates new MNIST database image file ready for reading.
MnistLabelFile - Class in org.deeplearning4j.datasets.mnist: MNIST database label file.
MnistLabelFile(String, String) - Constructor for class org.deeplearning4j.datasets.mnist.MnistLabelFile: Creates new MNIST database label file ready for reading.
MnistManager - Class in org.deeplearning4j.datasets.mnist
MnistManager(String, String) - Constructor for class org.deeplearning4j.datasets.mnist.MnistManager
MnistManager(String, String, boolean) - Constructor for class org.deeplearning4j.datasets.mnist.MnistManager: Constructs an instance managing the two given data files.
MnistManager(String, String, int) - Constructor for class org.deeplearning4j.datasets.mnist.MnistManager

N

next() - Method in class org.deeplearning4j.datasets.fetchers.MnistDataFetcher
next() - Method in class org.deeplearning4j.datasets.iterator.impl.IrisDataSetIterator
next() - Method in class org.deeplearning4j.datasets.mnist.MnistDbFile: Move to the next entry.
nextImage() - Method in class org.deeplearning4j.datasets.mnist.MnistImageFile: Move the cursor to the next image.
NUM_EXAMPLES - Static variable in class org.deeplearning4j.datasets.fetchers.IrisDataFetcher
NUM_EXAMPLES - Static variable in class org.deeplearning4j.datasets.fetchers.MnistDataFetcher
NUM_EXAMPLES - Static variable in class org.deeplearning4j.datasets.fetchers.TinyImageNetFetcher
NUM_EXAMPLES - Static variable in class org.deeplearning4j.datasets.fetchers.UciSequenceDataFetcher
NUM_EXAMPLES_TEST - Static variable in class org.deeplearning4j.datasets.fetchers.MnistDataFetcher
NUM_LABELS - Static variable in class org.deeplearning4j.datasets.fetchers.Cifar10Fetcher
NUM_LABELS - Static variable in class org.deeplearning4j.datasets.fetchers.SvhnDataFetcher
NUM_LABELS - Static variable in class org.deeplearning4j.datasets.fetchers.TinyImageNetFetcher
NUM_LABELS - Static variable in class org.deeplearning4j.datasets.fetchers.UciSequenceDataFetcher
numExamples - Variable in class org.deeplearning4j.datasets.fetchers.MnistDataFetcher
numExamples - Variable in class org.deeplearning4j.datasets.iterator.impl.EmnistDataSetIterator
numExamplesTest(EMnistSet) - Static method in class org.deeplearning4j.datasets.iterator.impl.EmnistDataSetIterator: Get the number of test examples for the specified subset
numExamplesTrain(EMnistSet) - Static method in class org.deeplearning4j.datasets.iterator.impl.EmnistDataSetIterator: Get the number of training examples for the specified subset
numLabels(EMnistSet) - Static method in class org.deeplearning4j.datasets.base.EmnistFetcher
numLabels(EMnistSet) - Static method in class org.deeplearning4j.datasets.iterator.impl.EmnistDataSetIterator: Get the number of labels for the specified subset

O

oneIndexed - Variable in class org.deeplearning4j.datasets.fetchers.MnistDataFetcher
order - Variable in class org.deeplearning4j.datasets.fetchers.MnistDataFetcher
org.deeplearning4j.datasets.base - package org.deeplearning4j.datasets.base
org.deeplearning4j.datasets.fetchers - package org.deeplearning4j.datasets.fetchers
org.deeplearning4j.datasets.iterator.impl - package org.deeplearning4j.datasets.iterator.impl
org.deeplearning4j.datasets.mnist - package org.deeplearning4j.datasets.mnist

P

preProcessor - Variable in class org.deeplearning4j.datasets.iterator.impl.Cifar10DataSetIterator
preProcessor - Variable in class org.deeplearning4j.datasets.iterator.impl.EmnistDataSetIterator
preProcessor - Variable in class org.deeplearning4j.datasets.iterator.impl.TinyImageNetDataSetIterator
preProcessor - Variable in class org.deeplearning4j.datasets.iterator.impl.UciSequenceDataSetIterator
prev() - Method in class org.deeplearning4j.datasets.mnist.MnistDbFile: Move to the previous entry.
prevImage() - Method in class org.deeplearning4j.datasets.mnist.MnistImageFile: Move the cursor to the previous image.

R

readImage() - Method in class org.deeplearning4j.datasets.mnist.MnistImageFile: Reads the image at the current position.
readImage() - Method in class org.deeplearning4j.datasets.mnist.MnistManager: Reads the current image.
readImagesUnsafe(int) - Method in class org.deeplearning4j.datasets.mnist.MnistImageFile: Read the specified number of images from the current position, to a byte[nImages][rows*cols] Note that MNIST data set is stored as unsigned bytes; this method returns signed bytes without conversion (i.e., same bits, but requires conversion before use)
readImageUnsafe(int) - Method in class org.deeplearning4j.datasets.mnist.MnistManager
readLabel() - Method in class org.deeplearning4j.datasets.mnist.MnistLabelFile: Reads the integer at the current position.
readLabel() - Method in class org.deeplearning4j.datasets.mnist.MnistManager: Reads the current label.
readLabel(int) - Method in class org.deeplearning4j.datasets.mnist.MnistManager
readLabels(int) - Method in class org.deeplearning4j.datasets.mnist.MnistLabelFile: Read the specified number of labels from the current position
remoteDataUrl() - Method in class org.deeplearning4j.datasets.fetchers.CacheableExtractableDataSetFetcher
remoteDataUrl() - Method in class org.deeplearning4j.datasets.fetchers.UciSequenceDataFetcher
remoteDataUrl(DataSetType) - Method in class org.deeplearning4j.datasets.fetchers.Cifar10Fetcher
remoteDataUrl(DataSetType) - Method in class org.deeplearning4j.datasets.fetchers.SvhnDataFetcher
remoteDataUrl(DataSetType) - Method in class org.deeplearning4j.datasets.fetchers.TinyImageNetFetcher
remoteDataUrl(DataSetType) - Method in class org.deeplearning4j.datasets.fetchers.UciSequenceDataFetcher
reset() - Method in class org.deeplearning4j.datasets.fetchers.MnistDataFetcher
rng - Variable in class org.deeplearning4j.datasets.fetchers.MnistDataFetcher

S

setBaseUrl(String) - Static method in class org.deeplearning4j.datasets.fetchers.SvhnDataFetcher
setCurrent(int) - Method in class org.deeplearning4j.datasets.mnist.MnistManager: Set the position to be read.
setCurrentIndex(long) - Method in class org.deeplearning4j.datasets.mnist.MnistDbFile: Set the required current entry index.
setURL(String) - Static method in class org.deeplearning4j.datasets.fetchers.UciSequenceDataFetcher
shuffle - Variable in class org.deeplearning4j.datasets.fetchers.MnistDataFetcher
SvhnDataFetcher - Class in org.deeplearning4j.datasets.fetchers
SvhnDataFetcher() - Constructor for class org.deeplearning4j.datasets.fetchers.SvhnDataFetcher

T

TEST - org.deeplearning4j.datasets.fetchers.DataSetType
TinyImageNetDataSetIterator - Class in org.deeplearning4j.datasets.iterator.impl
TinyImageNetDataSetIterator(int) - Constructor for class org.deeplearning4j.datasets.iterator.impl.TinyImageNetDataSetIterator: Create an iterator for the training set, with random iteration order (RNG seed fixed to 123)
TinyImageNetDataSetIterator(int, int[], DataSetType) - Constructor for class org.deeplearning4j.datasets.iterator.impl.TinyImageNetDataSetIterator: Get the Tiny ImageNet iterator with specified train/test set, with random iteration order (RNG seed fixed to 123)
TinyImageNetDataSetIterator(int, int[], DataSetType, ImageTransform, long) - Constructor for class org.deeplearning4j.datasets.iterator.impl.TinyImageNetDataSetIterator: Get the Tiny ImageNet iterator with specified train/test set and (optional) custom transform.
TinyImageNetDataSetIterator(int, DataSetType) - Constructor for class org.deeplearning4j.datasets.iterator.impl.TinyImageNetDataSetIterator: * Create an iterator for the training or test set, with random iteration order (RNG seed fixed to 123)
TinyImageNetFetcher - Class in org.deeplearning4j.datasets.fetchers
TinyImageNetFetcher() - Constructor for class org.deeplearning4j.datasets.fetchers.TinyImageNetFetcher
train - Variable in class org.deeplearning4j.datasets.fetchers.MnistDataFetcher
TRAIN - org.deeplearning4j.datasets.fetchers.DataSetType

U

UciSequenceDataFetcher - Class in org.deeplearning4j.datasets.fetchers
UciSequenceDataFetcher() - Constructor for class org.deeplearning4j.datasets.fetchers.UciSequenceDataFetcher
UciSequenceDataSetIterator - Class in org.deeplearning4j.datasets.iterator.impl
UciSequenceDataSetIterator(int) - Constructor for class org.deeplearning4j.datasets.iterator.impl.UciSequenceDataSetIterator: Create an iterator for the training set, with the specified minibatch size.
UciSequenceDataSetIterator(int, DataSetType) - Constructor for class org.deeplearning4j.datasets.iterator.impl.UciSequenceDataSetIterator: Create an iterator for the training or test set, with the specified minibatch size.
UciSequenceDataSetIterator(int, DataSetType, long) - Constructor for class org.deeplearning4j.datasets.iterator.impl.UciSequenceDataSetIterator: Create an iterator for the training or test set, with the specified minibatch size

V

VALIDATION - org.deeplearning4j.datasets.fetchers.DataSetType
valueOf(String) - Static method in enum org.deeplearning4j.datasets.fetchers.DataSetType: Returns the enum constant of this type with the specified name.
values() - Static method in enum org.deeplearning4j.datasets.fetchers.DataSetType: Returns an array containing the constants of this enum type, in the order they are declared.

W

WORDS_FILENAME - Static variable in class org.deeplearning4j.datasets.fetchers.TinyImageNetFetcher
writeImageToPpm(int[][], String) - Static method in class org.deeplearning4j.datasets.mnist.MnistManager: Writes the given image in the given file using the PPM data format.

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