Functions — github.com/Daniel-Liu-c0deb0t/Java-Machine-Learning

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Functions306 in github.com/Daniel-Liu-c0deb0t/Java-Machine-Learning

⨍ Functions 306◇ Types & classes 65

↓ 1 callersMethodinit

(int[] inputShape)

src/javamachinelearning/layers/Layer.java:8

↓ 1 callersMethodinit

(int inputSize, int numTimeSteps)

src/javamachinelearning/layers/recurrent/RecurrentCell.java:14

↓ 1 callersMethodinputShape

()

src/javamachinelearning/layers/feedforward/MaxPoolingLayer.java:40

↓ 1 callersMethodinputShape

()

src/javamachinelearning/layers/feedforward/FCLayer.java:34

↓ 1 callersMethodinputShape

()

src/javamachinelearning/layers/feedforward/AvgPoolingLayer.java:39

↓ 1 callersMethodinputShape

()

src/javamachinelearning/layers/feedforward/FlattenLayer.java:20

↓ 1 callersMethodinputShape

()

src/javamachinelearning/layers/feedforward/ConvLayer.java:88

↓ 1 callersMethodinputShape

()

src/javamachinelearning/layers/recurrent/RecurrentLayer.java:62

↓ 1 callersMethodnoBias

()

src/javamachinelearning/layers/recurrent/RecurrentCell.java:10

↓ 1 callersMethodonlyKeepAlphabetChars

(String s, String alphabet)

src/javamachinelearning/utils/Utils.java:216

↓ 1 callersMethodoutputShape

()

src/javamachinelearning/layers/feedforward/MaxPoolingLayer.java:35

↓ 1 callersMethodoutputShape

()

src/javamachinelearning/layers/feedforward/FCLayer.java:29

↓ 1 callersMethodoutputShape

()

src/javamachinelearning/layers/feedforward/AvgPoolingLayer.java:34

↓ 1 callersMethodoutputShape

()

src/javamachinelearning/layers/feedforward/FlattenLayer.java:15

↓ 1 callersMethodoutputShape

()

src/javamachinelearning/layers/feedforward/ConvLayer.java:83

↓ 1 callersMethodoutputShape

()

src/javamachinelearning/layers/recurrent/RecurrentLayer.java:57

↓ 1 callersMethodpad

(String s, int length, char c)

src/javamachinelearning/utils/Utils.java:45

↓ 1 callersMethodpredictTrain

(Tensor input)

src/javamachinelearning/networks/SequentialNN.java:73

↓ 1 callersMethodrandProb

(Tensor tensor)

src/javamachinelearning/utils/TensorUtils.java:33

↓ 1 callersMethodreadBytes

(ByteBuffer bb)

src/javamachinelearning/layers/ParamsLayer.java:15

↓ 1 callersMethodreadBytes

(ByteBuffer bb)

src/javamachinelearning/layers/recurrent/RecurrentCell.java:21

↓ 1 callersMethodreadImages

(String folderPath, boolean convertGray)

src/javamachinelearning/utils/ImageUtils.java:137

↓ 1 callersMethodreadOneImage_Test

(String path)

src/javamachinelearning/utils/ImageUtils.java:91

↓ 1 callersMethodreduceLast

(double init, Function2 f)

src/javamachinelearning/utils/Tensor.java:259

↓ 1 callersMethodresetState

()

src/javamachinelearning/layers/recurrent/RecurrentLayer.java:162

↓ 1 callersMethodresetStates

()

src/javamachinelearning/networks/SequentialNN.java:175

↓ 1 callersMethodshuffle

(Tensor[] x, Tensor[] y)

src/javamachinelearning/utils/Utils.java:193

↓ 1 callersMethodslide

(String s, int winSize)

src/javamachinelearning/utils/Utils.java:207

↓ 1 callersMethodstr

(int start, int end, int depth)

src/javamachinelearning/utils/Tensor.java:377

↓ 1 callersMethodupdate

(Optimizer optimizer, Regularizer regularizer, int changeCount)

src/javamachinelearning/layers/recurrent/RecurrentCell.java:18

MethodActivationLayer

(Activation activation)

src/javamachinelearning/layers/feedforward/ActivationLayer.java:10

MethodAdaDeltaOptimizer

()

src/javamachinelearning/optimizers/AdaDeltaOptimizer.java:10

MethodAdagradOptimizer

()

src/javamachinelearning/optimizers/AdagradOptimizer.java:9

MethodAdamOptimizer

()

src/javamachinelearning/optimizers/AdamOptimizer.java:14

MethodAvgPoolingLayer

(int winWidth, int winHeight, int strideX, int strideY)

src/javamachinelearning/layers/feedforward/AvgPoolingLayer.java:13

MethodConvLayer

(int winWidth, int winHeight, int strideX, int strideY, int filterCount, int paddingX, int paddingY)

src/javamachinelearning/layers/feedforward/ConvLayer.java:29

MethodDropoutLayer

()

src/javamachinelearning/layers/feedforward/DropoutLayer.java:12

MethodElasticNetRegularizer

()

src/javamachinelearning/regularizers/ElasticNetRegularizer.java:9

MethodFCLayer

(int nextSize)

src/javamachinelearning/layers/feedforward/FCLayer.java:25

MethodFlattenLayer

()

src/javamachinelearning/layers/feedforward/FlattenLayer.java:11

MethodGRUCell

(Activation activation, Activation gateActivation)

src/javamachinelearning/layers/recurrent/GRUCell.java:32

MethodGraph

()

src/javamachinelearning/graphs/Graph.java:35

MethodGraphPanel

(Graph graph)

src/javamachinelearning/graphs/GraphPanel.java:12

MethodImageUtils

()

src/javamachinelearning/utils/ImageUtils.java:11

MethodL1Regularizer

()

src/javamachinelearning/regularizers/L1Regularizer.java:8

MethodL2Regularizer

()

src/javamachinelearning/regularizers/L2Regularizer.java:8

MethodLine

(double m, double b)

src/javamachinelearning/graphs/Line.java:9

MethodLineGraph

(ArrayList<Point> arr)

src/javamachinelearning/graphs/LineGraph.java:10

MethodMNISTDrawablePanel

(int width, int height, int xSize, int ySize)

src/javamachinelearning/drawables/MNISTDrawablePanel.java:26

MethodMNISTDrawablePanel2

(int width, int height, int xSize, int ySize)

src/javamachinelearning/drawables/MNISTDrawablePanel2.java:25

MethodMaxPoolingLayer

(int winWidth, int winHeight, int strideX, int strideY)

src/javamachinelearning/layers/feedforward/MaxPoolingLayer.java:14

MethodMomentumOptimizer

()

src/javamachinelearning/optimizers/MomentumOptimizer.java:9

MethodNAGOptimizer

()

src/javamachinelearning/optimizers/NAGOptimizer.java:9

MethodPoint

(double x, double y)

src/javamachinelearning/graphs/Point.java:9

MethodRMSPropOptimizer

()

src/javamachinelearning/optimizers/RMSPropOptimizer.java:10

MethodRecurrentLayer

(int numTimeSteps, int numOutputs, RecurrentCell cell, boolean statefulTrain, boolean statefulTest)

src/javamachinelearning/layers/recurrent/RecurrentLayer.java:30

MethodSGDOptimizer

()

src/javamachinelearning/optimizers/SGDOptimizer.java:8

MethodScalingLayer

(double scale, boolean useTraining)

src/javamachinelearning/layers/feedforward/ScalingLayer.java:10

MethodSequentialNN

(int... inputShape)

src/javamachinelearning/networks/SequentialNN.java:21

MethodTensor

(int[] shape, boolean rand)

src/javamachinelearning/utils/Tensor.java:12

Methodapply

(double a, double b)

src/javamachinelearning/utils/Tensor.java:353

MethodbackPropagate

(Tensor input, Tensor output, Tensor error)

src/javamachinelearning/layers/feedforward/DropoutLayer.java:54

MethodbackPropagate

(Tensor input, Tensor output, Tensor error)

src/javamachinelearning/layers/feedforward/ActivationLayer.java:34

MethodbackPropagate

(Tensor input, Tensor output, Tensor error)

src/javamachinelearning/layers/feedforward/MaxPoolingLayer.java:101

MethodbackPropagate

(Tensor input, Tensor output, Tensor error)

src/javamachinelearning/layers/feedforward/FCLayer.java:100

MethodbackPropagate

(Tensor input, Tensor output, Tensor error)

src/javamachinelearning/layers/feedforward/AvgPoolingLayer.java:93

MethodbackPropagate

(Tensor input, Tensor output, Tensor error)

src/javamachinelearning/layers/feedforward/FlattenLayer.java:39

MethodbackPropagate

(Tensor input, Tensor output, Tensor error)

src/javamachinelearning/layers/feedforward/ScalingLayer.java:38

MethodbackPropagate

(Tensor input, Tensor output, Tensor error)

src/javamachinelearning/layers/feedforward/ConvLayer.java:196

MethodbackPropagate

(Tensor input, Tensor output, Tensor nextLayerError)

src/javamachinelearning/layers/recurrent/RecurrentLayer.java:125

MethodbackPropagate

(int t, Tensor input, Tensor prevState, Tensor error)

src/javamachinelearning/layers/recurrent/GRUCell.java:129

Methodbias

()

src/javamachinelearning/layers/feedforward/FCLayer.java:69

Methodbias

()

src/javamachinelearning/layers/feedforward/ConvLayer.java:134

Methodbytes

()

src/javamachinelearning/layers/feedforward/FCLayer.java:171

Methodbytes

()

src/javamachinelearning/layers/feedforward/ConvLayer.java:326

Methodbytes

()

src/javamachinelearning/layers/recurrent/RecurrentLayer.java:172

Methodbytes

()

src/javamachinelearning/layers/recurrent/GRUCell.java:263

Methodcell

()

src/javamachinelearning/layers/recurrent/RecurrentLayer.java:81

Methodderivative

(Tensor t)

src/javamachinelearning/utils/Activation.java:10

Methodderivative

(Tensor w)

src/javamachinelearning/regularizers/L2Regularizer.java:16

Methodderivative

(Tensor w)

src/javamachinelearning/regularizers/L1Regularizer.java:16

Methodderivative

(Tensor w)

src/javamachinelearning/regularizers/Regularizer.java:7

Methodderivative

(Tensor w)

src/javamachinelearning/regularizers/ElasticNetRegularizer.java:19

MethoddupLast

(int length)

src/javamachinelearning/utils/Tensor.java:283

MethodextraParams

()

src/javamachinelearning/optimizers/AdagradOptimizer.java:17

MethodextraParams

()

src/javamachinelearning/optimizers/MomentumOptimizer.java:24

MethodextraParams

()

src/javamachinelearning/optimizers/AdaDeltaOptimizer.java:25

MethodextraParams

()

src/javamachinelearning/optimizers/RMSPropOptimizer.java:20

MethodextraParams

()

src/javamachinelearning/optimizers/NAGOptimizer.java:24

MethodextraParams

()

src/javamachinelearning/optimizers/SGDOptimizer.java:16

MethodextraParams

()

src/javamachinelearning/optimizers/AdamOptimizer.java:41

MethodforwardPropagate

(Tensor input, boolean training)

src/javamachinelearning/layers/feedforward/DropoutLayer.java:36

MethodforwardPropagate

(Tensor input, boolean training)

src/javamachinelearning/layers/feedforward/ActivationLayer.java:29

MethodforwardPropagate

(Tensor input, boolean training)

src/javamachinelearning/layers/feedforward/MaxPoolingLayer.java:63

MethodforwardPropagate

(Tensor input, boolean training)

src/javamachinelearning/layers/feedforward/FCLayer.java:90

MethodforwardPropagate

(Tensor input, boolean training)

src/javamachinelearning/layers/feedforward/AvgPoolingLayer.java:61

MethodforwardPropagate

(Tensor input, boolean training)

src/javamachinelearning/layers/feedforward/FlattenLayer.java:34

MethodforwardPropagate

(Tensor input, boolean training)

src/javamachinelearning/layers/feedforward/ScalingLayer.java:30

MethodforwardPropagate

(Tensor input, boolean training)

src/javamachinelearning/layers/feedforward/ConvLayer.java:155

MethodforwardPropagate

(Tensor input, boolean training)

src/javamachinelearning/layers/recurrent/RecurrentLayer.java:85

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