Package | Description |
---|---|
org.deeplearning4j.base | |
org.deeplearning4j.berkeley | |
org.deeplearning4j.datasets | |
org.deeplearning4j.datasets.fetchers | |
org.deeplearning4j.rbm | |
org.deeplearning4j.util |
Modifier and Type | Method and Description |
---|---|
Pair<org.jblas.DoubleMatrix,org.jblas.DoubleMatrix> |
LFWLoader.convertListPairs(List<Pair<org.jblas.DoubleMatrix,org.jblas.DoubleMatrix>> images) |
Pair<org.jblas.DoubleMatrix,org.jblas.DoubleMatrix> |
LFWLoader.fromImageFile(int label,
File image) |
Pair<org.jblas.DoubleMatrix,org.jblas.DoubleMatrix> |
LFWLoader.getAllImagesAsMatrix() |
Pair<org.jblas.DoubleMatrix,org.jblas.DoubleMatrix> |
LFWLoader.getAllImagesAsMatrix(int numRows) |
Pair<org.jblas.DoubleMatrix,org.jblas.DoubleMatrix> |
LFWLoader.getDataFor(int i) |
static Pair<org.jblas.DoubleMatrix,org.jblas.DoubleMatrix> |
DeepLearningTest.getFaces(int num)
LFW Dataset: pick first num faces
|
static Pair<org.jblas.DoubleMatrix,org.jblas.DoubleMatrix> |
DeepLearningTest.getFacesMatrix()
LFW Dataset: pick all faces
|
static Pair<org.jblas.DoubleMatrix,org.jblas.DoubleMatrix> |
DeepLearningTest.getIris() |
static Pair<org.jblas.DoubleMatrix,org.jblas.DoubleMatrix> |
DeepLearningTest.getIris(int num) |
static Pair<org.jblas.DoubleMatrix,org.jblas.DoubleMatrix> |
DeepLearningTest.getMnistExample(int example)
Gets an mnist example as an input, label pair.
|
static Pair<org.jblas.DoubleMatrix,org.jblas.DoubleMatrix> |
DeepLearningTest.getMnistExampleBatch(int batchSize)
Gets an mnist example as an input, label pair.
|
static Pair<org.jblas.DoubleMatrix,org.jblas.DoubleMatrix> |
IrisUtils.loadIris() |
static Pair<org.jblas.DoubleMatrix,org.jblas.DoubleMatrix> |
IrisUtils.loadIris(int rows) |
Modifier and Type | Method and Description |
---|---|
List<Pair<org.jblas.DoubleMatrix,org.jblas.DoubleMatrix>> |
DeepLearningTest.getFaces()
LFW Dataset: pick all faces
|
List<Pair<org.jblas.DoubleMatrix,org.jblas.DoubleMatrix>> |
LFWLoader.getFirst(int num)
Get the first num found images
|
static List<Pair<org.jblas.DoubleMatrix,org.jblas.DoubleMatrix>> |
DeepLearningTest.getFirstFaces(int num)
LFW Dataset: pick first num faces
|
List<Pair<org.jblas.DoubleMatrix,org.jblas.DoubleMatrix>> |
LFWLoader.getImages(int label,
File file) |
List<Pair<org.jblas.DoubleMatrix,org.jblas.DoubleMatrix>> |
LFWLoader.getImagesAsList() |
List<Pair<org.jblas.DoubleMatrix,org.jblas.DoubleMatrix>> |
DeepLearningTest.getMnistExampleBatches(int batchSize,
int numBatches)
Gets an mnist example as an input, label pair.
|
static List<Pair<org.jblas.DoubleMatrix,org.jblas.DoubleMatrix>> |
IrisUtils.loadIris(int from,
int to) |
Modifier and Type | Method and Description |
---|---|
Pair<org.jblas.DoubleMatrix,org.jblas.DoubleMatrix> |
LFWLoader.convertListPairs(List<Pair<org.jblas.DoubleMatrix,org.jblas.DoubleMatrix>> images) |
Modifier and Type | Method and Description |
---|---|
Pair<K,V> |
CounterMap.argMax()
Finds the key with maximum count.
|
static <S,T> Pair<S,T> |
Pair.makePair(S first,
T second) |
static <S,T> Pair<S,T> |
Pair.newPair(S first,
T second) |
Pair<S,F> |
Pair.reverse() |
Modifier and Type | Method and Description |
---|---|
Iterator<Pair<K,V>> |
CounterMap.getPairIterator() |
static <S,T> Iterator<Pair<S,T>> |
Iterators.zip(Iterator<S> s,
Iterator<T> t) |
Modifier and Type | Method and Description |
---|---|
int |
Pair.LexicographicPairComparator.compare(Pair<F,S> pair1,
Pair<F,S> pair2) |
int |
Pair.LexicographicPairComparator.compare(Pair<F,S> pair1,
Pair<F,S> pair2) |
int |
Pair.DefaultLexicographicPairComparator.compare(Pair<F,S> o1,
Pair<F,S> o2) |
int |
Pair.DefaultLexicographicPairComparator.compare(Pair<F,S> o1,
Pair<F,S> o2) |
int |
Pair.FirstComparator.compare(Pair<S,T> p1,
Pair<S,T> p2) |
int |
Pair.FirstComparator.compare(Pair<S,T> p1,
Pair<S,T> p2) |
int |
Pair.ReverseFirstComparator.compare(Pair<S,T> p1,
Pair<S,T> p2) |
int |
Pair.ReverseFirstComparator.compare(Pair<S,T> p1,
Pair<S,T> p2) |
int |
Pair.SecondComparator.compare(Pair<S,T> p1,
Pair<S,T> p2) |
int |
Pair.SecondComparator.compare(Pair<S,T> p1,
Pair<S,T> p2) |
int |
Pair.ReverseSecondComparator.compare(Pair<S,T> p1,
Pair<S,T> p2) |
int |
Pair.ReverseSecondComparator.compare(Pair<S,T> p1,
Pair<S,T> p2) |
Modifier and Type | Class and Description |
---|---|
class |
DataSet
A data set (example/outcome pairs)
The outcomes are specifically for neural network encoding such that
any labels that are considered true are 1s.
|
Modifier and Type | Method and Description |
---|---|
Pair<DataSet,DataSet> |
DataSet.splitTestAndTrain(int numHoldout) |
Constructor and Description |
---|
DataSet(Pair<org.jblas.DoubleMatrix,org.jblas.DoubleMatrix> pair) |
Modifier and Type | Method and Description |
---|---|
protected void |
BaseDataFetcher.initializeCurrFromList(List<Pair<org.jblas.DoubleMatrix,org.jblas.DoubleMatrix>> examples) |
Modifier and Type | Method and Description |
---|---|
Pair<Pair<org.jblas.DoubleMatrix,org.jblas.DoubleMatrix>,Pair<org.jblas.DoubleMatrix,org.jblas.DoubleMatrix>> |
RBM.gibbhVh(org.jblas.DoubleMatrix h)
Gibbs sampling step: hidden ---> visible ---> hidden
|
Pair<org.jblas.DoubleMatrix,org.jblas.DoubleMatrix> |
RBM.sampleHiddenGivenVisible(org.jblas.DoubleMatrix v)
Binomial sampling of the hidden values given visible
|
Pair<org.jblas.DoubleMatrix,org.jblas.DoubleMatrix> |
RBM.sampleVGivenH(org.jblas.DoubleMatrix h)
Guess the visible values given the hidden
|
Pair<org.jblas.DoubleMatrix,org.jblas.DoubleMatrix> |
CRBM.sampleVGivenH(org.jblas.DoubleMatrix h) |
Modifier and Type | Method and Description |
---|---|
Pair<Pair<org.jblas.DoubleMatrix,org.jblas.DoubleMatrix>,Pair<org.jblas.DoubleMatrix,org.jblas.DoubleMatrix>> |
RBM.gibbhVh(org.jblas.DoubleMatrix h)
Gibbs sampling step: hidden ---> visible ---> hidden
|
Pair<Pair<org.jblas.DoubleMatrix,org.jblas.DoubleMatrix>,Pair<org.jblas.DoubleMatrix,org.jblas.DoubleMatrix>> |
RBM.gibbhVh(org.jblas.DoubleMatrix h)
Gibbs sampling step: hidden ---> visible ---> hidden
|
Modifier and Type | Method and Description |
---|---|
static void |
InputSplit.splitInputs(org.jblas.DoubleMatrix inputs,
org.jblas.DoubleMatrix outcomes,
List<Pair<org.jblas.DoubleMatrix,org.jblas.DoubleMatrix>> train,
List<Pair<org.jblas.DoubleMatrix,org.jblas.DoubleMatrix>> test,
double split) |
static void |
InputSplit.splitInputs(org.jblas.DoubleMatrix inputs,
org.jblas.DoubleMatrix outcomes,
List<Pair<org.jblas.DoubleMatrix,org.jblas.DoubleMatrix>> train,
List<Pair<org.jblas.DoubleMatrix,org.jblas.DoubleMatrix>> test,
double split) |
static void |
InputSplit.splitInputs(List<Pair<org.jblas.DoubleMatrix,org.jblas.DoubleMatrix>> pairs,
List<Pair<org.jblas.DoubleMatrix,org.jblas.DoubleMatrix>> train,
List<Pair<org.jblas.DoubleMatrix,org.jblas.DoubleMatrix>> test,
double split) |
static void |
InputSplit.splitInputs(List<Pair<org.jblas.DoubleMatrix,org.jblas.DoubleMatrix>> pairs,
List<Pair<org.jblas.DoubleMatrix,org.jblas.DoubleMatrix>> train,
List<Pair<org.jblas.DoubleMatrix,org.jblas.DoubleMatrix>> test,
double split) |
static void |
InputSplit.splitInputs(List<Pair<org.jblas.DoubleMatrix,org.jblas.DoubleMatrix>> pairs,
List<Pair<org.jblas.DoubleMatrix,org.jblas.DoubleMatrix>> train,
List<Pair<org.jblas.DoubleMatrix,org.jblas.DoubleMatrix>> test,
double split) |
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