Index

B C D E F G H I L M N P R S T V W _
All Classes|All Packages

B

backwards(T, T, T, List<T>) - Method in class deepboof.impl.backward.standard.BaseDFunction

backwards(T, T, T, List<T>) - Method in class deepboof.impl.backward.standard.DSpatialWindowChannel

backwards(T, T, T, List<T>) - Method in class deepboof.impl.backward.standard.DSpatialWindowImage

backwardsAt_border(DSpatialPadding2D_F64, int, int, int, int, int) - Method in class deepboof.impl.backward.standard.DSpatialConvolve2D_F64

backwardsAt_border(DSpatialPadding2D_F64, int, int, int, int, int, int) - Method in class deepboof.impl.backward.standard.DSpatialMaxPooling_F64

backwardsAt_border(P, int, int, int, int, int) - Method in class deepboof.impl.backward.standard.DSpatialWindowImage

Applies the operations at the specified window and stores the results at the specified output coordinate.

backwardsAt_border(P, int, int, int, int, int, int) - Method in class deepboof.impl.backward.standard.DSpatialWindowChannel

Applies the backwards local window operation.

backwardsAt_inner(Tensor_F64, int, int, int, int, int) - Method in class deepboof.impl.backward.standard.DSpatialConvolve2D_F64

backwardsAt_inner(Tensor_F64, int, int, int, int, int, int) - Method in class deepboof.impl.backward.standard.DSpatialMaxPooling_F64

backwardsAt_inner(T, int, int, int, int, int) - Method in class deepboof.impl.backward.standard.DSpatialWindowImage

Applies the operations at the specified window and stores the results at the specified output coordinate.

backwardsAt_inner(T, int, int, int, int, int, int) - Method in class deepboof.impl.backward.standard.DSpatialWindowChannel

Applies the backwards local window operation.

backwardsChannel(Tensor_F64, int, int, Tensor_F64) - Method in class deepboof.impl.backward.standard.DClippedPadding2D_F64

backwardsChannel(Tensor_F64, int, int, Tensor_F64) - Method in class deepboof.impl.backward.standard.DConstantPadding2D_F64

backwardsChannel(T, int, int, T) - Method in interface deepboof.backward.DSpatialPadding2D

Compute the gradient of the input image from the gradient of the padded image for a specific mini-batch and channel of the input tensor.

backwardsChannel(T, T) - Method in class deepboof.impl.backward.standard.DSpatialWindowChannel

Convolve window across 'input' spatial tensor and compute its gradient

backwardsImage(Tensor_F64, int, Tensor_F64) - Method in class deepboof.impl.backward.standard.DClippedPadding2D_F64

backwardsImage(Tensor_F64, int, Tensor_F64) - Method in class deepboof.impl.backward.standard.DConstantPadding2D_F64

backwardsImage(T, int, T) - Method in interface deepboof.backward.DSpatialPadding2D

Compute the gradient of the input image from the gradient of the padded image for a specific mini-batch and channel of the input tensor.

backwardsImage(T, T) - Method in class deepboof.impl.backward.standard.DSpatialWindowImage

BaseDBatchNorm_F64 - Class in deepboof.impl.backward.standard

Implements common functionality for all batch normalization implementations for Tensor_F64.

BaseDBatchNorm_F64(boolean) - Constructor for class deepboof.impl.backward.standard.BaseDBatchNorm_F64

BaseDFunction<T extends deepboof.Tensor<T>> - Class in deepboof.impl.backward.standard

Base class which implements common functionality between all DFunction

BaseDFunction() - Constructor for class deepboof.impl.backward.standard.BaseDFunction

bias - Variable in class deepboof.impl.backward.standard.DSpatialConvolve2D_F64

C

cachedDPadding - Variable in class deepboof.impl.backward.standard.DSpatialConvolve2D_F64

cachedPadded - Variable in class deepboof.impl.backward.standard.DSpatialConvolve2D_F64

configure(double) - Method in interface deepboof.backward.NumericalGradient

Overrides default settings for computing numerical gradient.

configure(double) - Method in class deepboof.impl.backward.standard.NumericalGradient_F64

createNumericalGradient() - Method in class deepboof.factory.FactoryBackwards

createShapeVariables(int[]) - Method in class deepboof.impl.backward.standard.BaseDBatchNorm_F64

Create the shape for all the variables which are being normalized

createShapeVariables(int[]) - Method in class deepboof.impl.backward.standard.DFunctionBatchNorm_F64

createShapeVariables(int[]) - Method in class deepboof.impl.backward.standard.DSpatialBatchNorm_F64

D

D - Variable in class deepboof.impl.backward.standard.BaseDBatchNorm_F64

D - Variable in class deepboof.impl.backward.standard.DFunctionLinear_F64

DActivationReLU<T extends deepboof.Tensor<T>> - Interface in deepboof.backward

Interface of ActivationReLU which adds functionality for the backwards step.

DActivationReLU_F64 - Class in deepboof.impl.backward.standard

Implementation of DActivationReLU for Tensor_F64

DActivationReLU_F64() - Constructor for class deepboof.impl.backward.standard.DActivationReLU_F64

DActivationSigmoid<T extends deepboof.Tensor<T>> - Interface in deepboof.backward

Interface of ActivationSigmoid which adds functionality for the backwards step.

DActivationSigmoid_F64 - Class in deepboof.impl.backward.standard

Implementation of DActivationSigmoid for Tensor_F64.

DActivationSigmoid_F64() - Constructor for class deepboof.impl.backward.standard.DActivationSigmoid_F64

DActivationTanH<T extends deepboof.Tensor<T>> - Interface in deepboof.backward

Interface of ActivationTanH which adds functionality for the backwards step.

DActivationTanH_F64 - Class in deepboof.impl.backward.standard

Implementation of DActivationTanH for Tensor_F64.

DActivationTanH_F64() - Constructor for class deepboof.impl.backward.standard.DActivationTanH_F64

DBatchNorm<T extends deepboof.Tensor<T>> - Interface in deepboof.backward

Implementation of batch normalization for training networks.

dBias - Variable in class deepboof.impl.backward.standard.DSpatialConvolve2D_F64

DClippedPadding2D_F64 - Class in deepboof.impl.backward.standard

Backwards implementation of ClippedPadding2D_F64.

DClippedPadding2D_F64(ConfigPadding) - Constructor for class deepboof.impl.backward.standard.DClippedPadding2D_F64

DConstantPadding2D_F64 - Class in deepboof.impl.backward.standard

Backwards implementation of ConstantPadding2D_F64.

DConstantPadding2D_F64(ConfigPadding) - Constructor for class deepboof.impl.backward.standard.DConstantPadding2D_F64

deepboof.backward - package deepboof.backward

deepboof.factory - package deepboof.factory

deepboof.graph - package deepboof.graph

deepboof.impl.backward.standard - package deepboof.impl.backward.standard

deepboof.optim - package deepboof.optim

DFunctionBatchNorm<T extends deepboof.Tensor<T>> - Interface in deepboof.backward

Implementation of Batch Normalization for training networks.

DFunctionBatchNorm_F64 - Class in deepboof.impl.backward.standard

Implementation of DFunctionBatchNorm for Tensor_F64.

DFunctionBatchNorm_F64(boolean) - Constructor for class deepboof.impl.backward.standard.DFunctionBatchNorm_F64

DFunctionDropOut<T extends deepboof.Tensor<T>> - Interface in deepboof.backward

Drop out is a technique introduced by [1] for regularizing a network and helps prevents over fitting.

DFunctionDropOut_F64 - Class in deepboof.impl.backward.standard

Implementation of DFunctionDropOut for Tensor_F64

DFunctionDropOut_F64(long, double) - Constructor for class deepboof.impl.backward.standard.DFunctionDropOut_F64

Configures drop out

DFunctionLinear<T extends deepboof.Tensor<T>> - Interface in deepboof.backward

Interface of FunctionLinear which adds functionality for the backwards step.

DFunctionLinear_F64 - Class in deepboof.impl.backward.standard

Implementation of DFunctionLinear for Tensor_F64

DFunctionLinear_F64(int) - Constructor for class deepboof.impl.backward.standard.DFunctionLinear_F64

DFunctionSequence - Class in deepboof.graph

DFunctionSequence() - Constructor for class deepboof.graph.DFunctionSequence

differentiate(Tensor_F64, List<Tensor_F64>, Tensor_F64, Tensor_F64, List<Tensor_F64>) - Method in class deepboof.impl.backward.standard.NumericalGradient_F64

differentiate(T, List<T>, T, T, List<T>) - Method in interface deepboof.backward.NumericalGradient

Performs numerical differentiation to compute the gradients of input and parameters.

dout - Variable in class deepboof.impl.backward.standard.DSpatialConvolve2D_F64

dpadding - Variable in class deepboof.impl.backward.standard.DSpatialWindowChannel

dpadding - Variable in class deepboof.impl.backward.standard.DSpatialWindowImage

DSpatialBatchNorm<T extends deepboof.Tensor<T>> - Interface in deepboof.backward

Interface of Spatial Batch Normalization for training networks.

DSpatialBatchNorm_F64 - Class in deepboof.impl.backward.standard

Implementation of DSpatialBatchNorm for Tensor_F64.

DSpatialBatchNorm_F64(boolean) - Constructor for class deepboof.impl.backward.standard.DSpatialBatchNorm_F64

DSpatialConvolve2D<T extends deepboof.Tensor<T>> - Interface in deepboof.backward

Implementation of Spatial Convolve 2D for training networks.

DSpatialConvolve2D_F64 - Class in deepboof.impl.backward.standard

Implementation of DSpatialConvolve2D for Tensor_F64.

DSpatialConvolve2D_F64(ConfigConvolve2D, DSpatialPadding2D_F64) - Constructor for class deepboof.impl.backward.standard.DSpatialConvolve2D_F64

DSpatialMaxPooling<T extends deepboof.Tensor<T>> - Interface in deepboof.backward

Interface of SpatialMaxPooling which adds functionality for the backwards step.

DSpatialMaxPooling_F64 - Class in deepboof.impl.backward.standard

Implementation of DSpatialPadding2D_F64 for Tensor_F64 that extends DSpatialWindowChannel.

DSpatialMaxPooling_F64(ConfigSpatial, DSpatialPadding2D_F64) - Constructor for class deepboof.impl.backward.standard.DSpatialMaxPooling_F64

DSpatialPadding2D<T extends deepboof.Tensor<T>> - Interface in deepboof.backward

Interface for computing the gradient of a padded spatial tensor.

DSpatialPadding2D_F64 - Interface in deepboof.backward

DSpatialWindowChannel<T extends deepboof.Tensor<T>,P extends DSpatialPadding2D<T>> - Class in deepboof.impl.backward.standard

Backwards functions for operations which convolve a window across the input spatial tensor and process the image in a BCHW (batch, channel, (row, column)) order, e.g.

DSpatialWindowChannel(ConfigSpatial, P) - Constructor for class deepboof.impl.backward.standard.DSpatialWindowChannel

DSpatialWindowImage<T extends deepboof.Tensor<T>,P extends DSpatialPadding2D<T>> - Class in deepboof.impl.backward.standard

Backwards functions for operations which convolve a window across the input spatial tensor.

DSpatialWindowImage(ConfigSpatial, P) - Constructor for class deepboof.impl.backward.standard.DSpatialWindowImage

dWeights - Variable in class deepboof.impl.backward.standard.DSpatialConvolve2D_F64

E

ElementWiseDFunction<T extends deepboof.Tensor<T>> - Class in deepboof.impl.backward.standard

Base class for element-wise derivative functions

ElementWiseDFunction() - Constructor for class deepboof.impl.backward.standard.ElementWiseDFunction

EPS - Variable in class deepboof.impl.backward.standard.BaseDBatchNorm_F64

evaluating() - Method in class deepboof.impl.backward.standard.BaseDFunction

evaluating() - Method in class deepboof.impl.backward.standard.DSpatialWindowChannel

evaluating() - Method in class deepboof.impl.backward.standard.DSpatialWindowImage

F

F - Variable in class deepboof.impl.backward.standard.DSpatialConvolve2D_F64

FactoryBackwards<T extends deepboof.Tensor<T>> - Class in deepboof.factory

FactoryBackwards(Class<T>) - Constructor for class deepboof.factory.FactoryBackwards

forward(T, T) - Method in interface deepboof.backward.DFunctionBatchNorm

Applies batch normalization to each variable in the input.

forward(T, T) - Method in interface deepboof.backward.DSpatialBatchNorm

Performs batch normalization on spatial data.

forwardAt_border(DSpatialPadding2D_F64, int, int, int, int, int) - Method in class deepboof.impl.backward.standard.DSpatialConvolve2D_F64

forwardAt_border(DSpatialPadding2D_F64, int, int, int, int, int, int) - Method in class deepboof.impl.backward.standard.DSpatialMaxPooling_F64

forwardAt_inner(Tensor_F64, int, int, int, int, int) - Method in class deepboof.impl.backward.standard.DSpatialConvolve2D_F64

forwardAt_inner(Tensor_F64, int, int, int, int, int, int) - Method in class deepboof.impl.backward.standard.DSpatialMaxPooling_F64

forwardEvaluate(Tensor_F64, Tensor_F64) - Method in class deepboof.impl.backward.standard.DSpatialBatchNorm_F64

forwardsEvaluate(Tensor_F64, Tensor_F64) - Method in class deepboof.impl.backward.standard.DFunctionBatchNorm_F64

G

getConfiguration() - Method in class deepboof.impl.backward.standard.DSpatialConvolve2D_F64

getDropRate() - Method in interface deepboof.backward.DFunctionDropOut

Returns a number from 0 to 1 indicating the likelihood of a neuron being dropped.

getDropRate() - Method in class deepboof.impl.backward.standard.DFunctionDropOut_F64

getEPS() - Method in class deepboof.impl.backward.standard.BaseDBatchNorm_F64

getMean(Tensor_F64) - Method in class deepboof.impl.backward.standard.BaseDBatchNorm_F64

getMean(T) - Method in interface deepboof.backward.DBatchNorm

Returns the most recently computed mean for each variable in the tensor.

getNumberOfOutputs() - Method in class deepboof.impl.backward.standard.DFunctionLinear_F64

getTensorType() - Method in class deepboof.impl.backward.standard.BaseDBatchNorm_F64

getTensorType() - Method in class deepboof.impl.backward.standard.DActivationReLU_F64

getTensorType() - Method in class deepboof.impl.backward.standard.DActivationSigmoid_F64

getTensorType() - Method in class deepboof.impl.backward.standard.DActivationTanH_F64

getTensorType() - Method in class deepboof.impl.backward.standard.DFunctionDropOut_F64

getTensorType() - Method in class deepboof.impl.backward.standard.DFunctionLinear_F64

getTensorType() - Method in class deepboof.impl.backward.standard.DSpatialWindowChannel

getTensorType() - Method in class deepboof.impl.backward.standard.DSpatialWindowImage

getVariance(Tensor_F64) - Method in class deepboof.impl.backward.standard.BaseDBatchNorm_F64

getVariance(T) - Method in interface deepboof.backward.DBatchNorm

Returns the most recently computed variance for each variable.

H

hasGammaBeta() - Method in class deepboof.impl.backward.standard.BaseDBatchNorm_F64

I

isLearning() - Method in class deepboof.impl.backward.standard.BaseDFunction

isLearning() - Method in class deepboof.impl.backward.standard.DSpatialWindowChannel

isLearning() - Method in class deepboof.impl.backward.standard.DSpatialWindowImage

L

learning() - Method in class deepboof.impl.backward.standard.BaseDFunction

learning() - Method in class deepboof.impl.backward.standard.DSpatialWindowChannel

learning() - Method in class deepboof.impl.backward.standard.DSpatialWindowImage

learningMode - Variable in class deepboof.impl.backward.standard.BaseDFunction

learningMode - Variable in class deepboof.impl.backward.standard.DSpatialWindowChannel

learningMode - Variable in class deepboof.impl.backward.standard.DSpatialWindowImage

M

M - Variable in class deepboof.impl.backward.standard.DFunctionLinear_F64

N

NumericalGradient<T extends deepboof.Tensor<T>> - Interface in deepboof.backward

Given a Function implementations of this interface will compute the gradient of its inputs and parameters.

NumericalGradient_F64 - Class in deepboof.impl.backward.standard

Implementation of NumericalGradient for Tensor_F64

NumericalGradient_F64() - Constructor for class deepboof.impl.backward.standard.NumericalGradient_F64

P

params - Variable in class deepboof.impl.backward.standard.BaseDBatchNorm_F64

R

requiresGammaBeta - Variable in class deepboof.impl.backward.standard.BaseDBatchNorm_F64

S

setEPS(double) - Method in class deepboof.impl.backward.standard.BaseDBatchNorm_F64

setFunction(Function<Tensor_F64>) - Method in class deepboof.impl.backward.standard.NumericalGradient_F64

setFunction(Function<T>) - Method in interface deepboof.backward.NumericalGradient

Sets the function which will be differentiated and other parameters.

setParameters(List<T>) - Method in interface deepboof.backward.DFunctionBatchNorm

See DFunctionBatchNorm.forward(T, T) for a description of parameters.

setParameters(List<T>) - Method in interface deepboof.backward.DSpatialBatchNorm

There are only parameters when gamma-beta is used.

shapeVariables - Variable in class deepboof.impl.backward.standard.BaseDBatchNorm_F64

spatialPadding(ConfigPadding) - Method in class deepboof.factory.FactoryBackwards

T

tensorDiffX - Variable in class deepboof.impl.backward.standard.BaseDBatchNorm_F64

tensorDMean - Variable in class deepboof.impl.backward.standard.BaseDBatchNorm_F64

tensorDVar - Variable in class deepboof.impl.backward.standard.BaseDBatchNorm_F64

tensorDXhat - Variable in class deepboof.impl.backward.standard.BaseDBatchNorm_F64

tensorMean - Variable in class deepboof.impl.backward.standard.BaseDBatchNorm_F64

tensorStd - Variable in class deepboof.impl.backward.standard.BaseDBatchNorm_F64

tensorTmp - Variable in class deepboof.impl.backward.standard.BaseDBatchNorm_F64

tensorXhat - Variable in class deepboof.impl.backward.standard.BaseDBatchNorm_F64

V

VanilaGradientDescent - Class in deepboof.optim

VanilaGradientDescent() - Constructor for class deepboof.optim.VanilaGradientDescent

W

weights - Variable in class deepboof.impl.backward.standard.DSpatialConvolve2D_F64

_

_backwards(Tensor_F64, Tensor_F64, Tensor_F64, List<Tensor_F64>) - Method in class deepboof.impl.backward.standard.DActivationReLU_F64

_backwards(Tensor_F64, Tensor_F64, Tensor_F64, List<Tensor_F64>) - Method in class deepboof.impl.backward.standard.DActivationSigmoid_F64

_backwards(Tensor_F64, Tensor_F64, Tensor_F64, List<Tensor_F64>) - Method in class deepboof.impl.backward.standard.DActivationTanH_F64

_backwards(Tensor_F64, Tensor_F64, Tensor_F64, List<Tensor_F64>) - Method in class deepboof.impl.backward.standard.DFunctionBatchNorm_F64

_backwards(Tensor_F64, Tensor_F64, Tensor_F64, List<Tensor_F64>) - Method in class deepboof.impl.backward.standard.DFunctionDropOut_F64

_backwards(Tensor_F64, Tensor_F64, Tensor_F64, List<Tensor_F64>) - Method in class deepboof.impl.backward.standard.DFunctionLinear_F64

_backwards(Tensor_F64, Tensor_F64, Tensor_F64, List<Tensor_F64>) - Method in class deepboof.impl.backward.standard.DSpatialBatchNorm_F64

_backwards(Tensor_F64, Tensor_F64, Tensor_F64, List<Tensor_F64>) - Method in class deepboof.impl.backward.standard.DSpatialConvolve2D_F64

_backwards(Tensor_F64, Tensor_F64, Tensor_F64, List<Tensor_F64>) - Method in class deepboof.impl.backward.standard.DSpatialMaxPooling_F64

_backwards(T, T, T, List<T>) - Method in class deepboof.impl.backward.standard.BaseDFunction

_backwards(T, T, T, List<T>) - Method in class deepboof.impl.backward.standard.DSpatialWindowChannel

_backwards(T, T, T, List<T>) - Method in class deepboof.impl.backward.standard.DSpatialWindowImage

_forward(Tensor_F64, Tensor_F64) - Method in class deepboof.impl.backward.standard.DActivationReLU_F64

_forward(Tensor_F64, Tensor_F64) - Method in class deepboof.impl.backward.standard.DActivationSigmoid_F64

_forward(Tensor_F64, Tensor_F64) - Method in class deepboof.impl.backward.standard.DActivationTanH_F64

_forward(Tensor_F64, Tensor_F64) - Method in class deepboof.impl.backward.standard.DFunctionBatchNorm_F64

_forward(Tensor_F64, Tensor_F64) - Method in class deepboof.impl.backward.standard.DFunctionDropOut_F64

_forward(Tensor_F64, Tensor_F64) - Method in class deepboof.impl.backward.standard.DFunctionLinear_F64

_forward(Tensor_F64, Tensor_F64) - Method in class deepboof.impl.backward.standard.DSpatialBatchNorm_F64

_forward(Tensor_F64, Tensor_F64) - Method in class deepboof.impl.backward.standard.DSpatialConvolve2D_F64

_forward(Tensor_F64, Tensor_F64) - Method in class deepboof.impl.backward.standard.DSpatialMaxPooling_F64

_initialize() - Method in class deepboof.impl.backward.standard.BaseDBatchNorm_F64

_initialize() - Method in class deepboof.impl.backward.standard.DFunctionDropOut_F64

_initialize() - Method in class deepboof.impl.backward.standard.DFunctionLinear_F64

_initialize() - Method in class deepboof.impl.backward.standard.DSpatialConvolve2D_F64

_initialize() - Method in class deepboof.impl.backward.standard.ElementWiseDFunction

_setParameters(List<Tensor_F64>) - Method in class deepboof.impl.backward.standard.BaseDBatchNorm_F64

_setParameters(List<Tensor_F64>) - Method in class deepboof.impl.backward.standard.DFunctionDropOut_F64

_setParameters(List<Tensor_F64>) - Method in class deepboof.impl.backward.standard.DFunctionLinear_F64

_setParameters(List<Tensor_F64>) - Method in class deepboof.impl.backward.standard.DSpatialConvolve2D_F64

_setParameters(List<Tensor_F64>) - Method in class deepboof.impl.backward.standard.DSpatialMaxPooling_F64

_setParameters(List<T>) - Method in class deepboof.impl.backward.standard.ElementWiseDFunction

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