Index (main 0.5 API)

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

A

ActivationReLU<T extends Tensor> - Interface in deepboof.forward: Rectified Linear Unit (ReLU) activation function.
ActivationReLU_F32 - Class in deepboof.impl.forward.standard: Implementation of ActivationReLU for Tensor_F32.
ActivationReLU_F32() - Constructor for class deepboof.impl.forward.standard.ActivationReLU_F32
ActivationReLU_F64 - Class in deepboof.impl.forward.standard: Implementation of ActivationReLU for Tensor_F64.
ActivationReLU_F64() - Constructor for class deepboof.impl.forward.standard.ActivationReLU_F64
ActivationSigmoid<T extends Tensor> - Interface in deepboof.forward: The sigmoid is defined as:
ActivationSigmoid_F32 - Class in deepboof.impl.forward.standard: Implementation of ActivationSigmoid for Tensor_F32.
ActivationSigmoid_F32() - Constructor for class deepboof.impl.forward.standard.ActivationSigmoid_F32
ActivationSigmoid_F64 - Class in deepboof.impl.forward.standard: Implementation of ActivationSigmoid for Tensor_F64.
ActivationSigmoid_F64() - Constructor for class deepboof.impl.forward.standard.ActivationSigmoid_F64
ActivationTanH<T extends Tensor> - Interface in deepboof.forward: The hyperbolic tangent (tanh) is defined as:
ActivationTanH_F32 - Class in deepboof.impl.forward.standard: Implementation of ActivationTanH for Tensor_F32.
ActivationTanH_F32() - Constructor for class deepboof.impl.forward.standard.ActivationTanH_F32
ActivationTanH_F64 - Class in deepboof.impl.forward.standard: Implementation of ActivationTanH for Tensor_F64.
ActivationTanH_F64() - Constructor for class deepboof.impl.forward.standard.ActivationTanH_F64
AD(T) - Static method in class deepboof.misc.TensorOps: Adds a dimension to the input tensor.
assignDepth() - Method in class deepboof.graph.SequenceForwardOrder: Assigns a depth from the input node for all the elements in the graph.

B

backwards(T, T, T, List<T>) - Method in interface deepboof.DFunction: Computes the derivatives of all the inputs and parameters to this function.
BaseFunction<T extends Tensor> - Class in deepboof.impl.forward.standard: Base class which implements common functionality between all functions
BaseFunction() - Constructor for class deepboof.impl.forward.standard.BaseFunction
BaseSpatialPadding2D<T extends Tensor<T>> - Class in deepboof.impl.forward.standard: Abstract class fo all virtual 2D spatial padding implementation.
BaseSpatialPadding2D(ConfigPadding) - Constructor for class deepboof.impl.forward.standard.BaseSpatialPadding2D
BaseSpatialWindow<T extends Tensor<T>,P extends SpatialPadding2D<T>> - Class in deepboof.impl.forward.standard: Common class for implementations of SpatialConvolve2D.
BaseSpatialWindow(ConfigSpatial, P) - Constructor for class deepboof.impl.forward.standard.BaseSpatialWindow
BaseTensor - Class in deepboof: Base class for all Tensor data types.
BaseTensor() - Constructor for class deepboof.BaseTensor
BatchNorm - Interface in deepboof.forward: Batch Normalization [1] determines the mean and standard deviation (stdev) of each input element individually using the training data.
bias - Variable in class deepboof.impl.forward.standard.SpatialConvolve2D_F32
bias - Variable in class deepboof.impl.forward.standard.SpatialConvolve2D_F64
borderGet(int, int, int, int) - Method in class deepboof.forward.SpatialPadding2D_F32: Handles coordinates outside the input image
borderGet(int, int, int, int) - Method in class deepboof.forward.SpatialPadding2D_F64: Handles coordinates outside the input image
borderGet(int, int, int, int) - Method in class deepboof.impl.forward.standard.ClippedPadding2D_F32
borderGet(int, int, int, int) - Method in class deepboof.impl.forward.standard.ClippedPadding2D_F64
borderGet(int, int, int, int) - Method in class deepboof.impl.forward.standard.ConstantPadding2D_F32
borderGet(int, int, int, int) - Method in class deepboof.impl.forward.standard.ConstantPadding2D_F64
boundSpatial(int[], int, int) - Static method in class deepboof.misc.TensorOps

C

C - Variable in class deepboof.impl.forward.standard.BaseSpatialWindow
cacheLocal - Variable in class deepboof.impl.forward.standard.SpatialConvolve2D_F32
cacheLocal - Variable in class deepboof.impl.forward.standard.SpatialConvolve2D_F64
checkBackwardsShapeChannel(Tensor<T>, Tensor<T>) - Method in class deepboof.impl.forward.standard.BaseSpatialPadding2D: Sanity checks the input for backwards images
checkBackwardsShapeImage(Tensor<T>, Tensor<T>) - Method in class deepboof.impl.forward.standard.BaseSpatialPadding2D: Sanity checks the input for backwards images
checkShape(Tensor_F32, Tensor_F32) - Static method in class deepboof.misc.TensorOps: Checks to see if the two tensors have the same shape
checkShape(Tensor_F64, Tensor_F64) - Static method in class deepboof.misc.TensorOps: Checks to see if the two tensors have the same shape
checkShape(String, int, int[], int[], boolean) - Static method in class deepboof.misc.TensorOps: Checks to see if the two tensors have the same shape, with the option to ignore the first axis for the 'actual' shape.
checkShape(String, List<int[]>, List<Tensor<?>>, boolean) - Static method in class deepboof.misc.TensorOps: Compares a list of tensors shape's against each other.
checkValidity() - Method in class deepboof.forward.ConfigConvolve2D: Makes sure valid configurations are set
checkValidity() - Method in class deepboof.forward.ConfigPadding
checkValidity() - Method in class deepboof.forward.ConfigSpatial
checkValidity() - Method in interface deepboof.misc.Configuration: Checks to see if the configuration is valid.
CLIPPED - deepboof.PaddingType: The kernel is cropped and reweighted such that it does not extend outside the image.
ClippedPadding2D<T extends Tensor<T>> - Interface in deepboof.forward: Interface for padding in which the region being sampled has been clipped so that it will be entirely contained inside the original image.
ClippedPadding2D_F32 - Class in deepboof.impl.forward.standard: Implementation of ConstantPadding2D_F32.
ClippedPadding2D_F32(ConfigPadding) - Constructor for class deepboof.impl.forward.standard.ClippedPadding2D_F32
ClippedPadding2D_F64 - Class in deepboof.impl.forward.standard: Implementation of ConstantPadding2D_F64.
ClippedPadding2D_F64(ConfigPadding) - Constructor for class deepboof.impl.forward.standard.ClippedPadding2D_F64
clone() - Method in class deepboof.forward.ConfigConvolve2D
clone() - Method in class deepboof.forward.ConfigPadding
COL0 - Variable in class deepboof.impl.forward.standard.BaseSpatialPadding2D
COL1 - Variable in class deepboof.impl.forward.standard.BaseSpatialPadding2D
combine - Variable in class deepboof.graph.Node: Operation for combining multiple input sources together
combine(List<T>, T) - Method in interface deepboof.graph.TensorMerger
computeStrides() - Method in class deepboof.Tensor: Computes how many indexes must be steped over to increment a value in each axis
config - Variable in class deepboof.impl.forward.standard.BaseSpatialPadding2D
config - Variable in class deepboof.impl.forward.standard.BaseSpatialWindow: Configuration for convolution
ConfigConvolve2D - Class in deepboof.forward: Configuration for 2D convolution.
ConfigConvolve2D() - Constructor for class deepboof.forward.ConfigConvolve2D
ConfigPadding - Class in deepboof.forward: Configuration for spatial padding.
ConfigPadding() - Constructor for class deepboof.forward.ConfigPadding
ConfigSpatial - Class in deepboof.forward: Common configuration for many spatial functions
ConfigSpatial() - Constructor for class deepboof.forward.ConfigSpatial
Configuration - Interface in deepboof.misc: Complex algorithms with several parameters can specify their parameters using a separate class.
ConstantPadding2D<T extends Tensor<T>> - Interface in deepboof.forward: Interface for padding which applies a constant padding to the output of the image
ConstantPadding2D_F32 - Class in deepboof.impl.forward.standard: Pads pixels outside the input image with a user specified constant value.
ConstantPadding2D_F32(ConfigPadding) - Constructor for class deepboof.impl.forward.standard.ConstantPadding2D_F32
ConstantPadding2D_F32(ConfigPadding, float) - Constructor for class deepboof.impl.forward.standard.ConstantPadding2D_F32
ConstantPadding2D_F64 - Class in deepboof.impl.forward.standard: Pads pixels outside the input image with a user specified constant value.
ConstantPadding2D_F64(ConfigPadding) - Constructor for class deepboof.impl.forward.standard.ConstantPadding2D_F64
ConstantPadding2D_F64(ConfigPadding, double) - Constructor for class deepboof.impl.forward.standard.ConstantPadding2D_F64
copy() - Method in class deepboof.Tensor: Returns a copy of this tensor
copyShape(int[]) - Method in class deepboof.Tensor: Copies the shape of this tensor into the provided int[]
create(int...) - Method in class deepboof.misc.TensorFactory
create(int...) - Method in class deepboof.Tensor: Creates a tensor of the same type with the specified shape
create(int...) - Method in class deepboof.tensors.Tensor_F32
create(int...) - Method in class deepboof.tensors.Tensor_F64
create(int...) - Method in class deepboof.tensors.Tensor_S32
create(int...) - Method in class deepboof.tensors.Tensor_S64
create(int...) - Method in class deepboof.tensors.Tensor_U8
createCoor() - Method in class deepboof.BaseTensor: Creates a new coordinate for this tensor.
createCoor() - Method in interface deepboof.ITensor: Creates a new coordinate for this tensor.
createCoor() - Method in class deepboof.Tensor: Creates a new coordinate for this tensor.
createLike() - Method in class deepboof.Tensor: Creates a tensor of the same type and same shape as this one

D

d - Variable in class deepboof.tensors.Tensor_F32: Storage for tensor data.
d - Variable in class deepboof.tensors.Tensor_F64: Storage for tensor data.
d - Variable in class deepboof.tensors.Tensor_S32
d - Variable in class deepboof.tensors.Tensor_S64
d - Variable in class deepboof.tensors.Tensor_U8
D - Variable in class deepboof.impl.forward.standard.FunctionLinear_F32
D - Variable in class deepboof.impl.forward.standard.FunctionLinear_F64
deepboof - package deepboof
deepboof.factory - package deepboof.factory
deepboof.forward - package deepboof.forward
deepboof.graph - package deepboof.graph
deepboof.impl.forward.standard - package deepboof.impl.forward.standard
deepboof.misc - package deepboof.misc
deepboof.tensors - package deepboof.tensors
DeepBoofConstants - Class in deepboof: Various constants used throughout DeepBoof
DeepBoofConstants() - Constructor for class deepboof.DeepBoofConstants
DeepBoofOps - Class in deepboof.misc
DeepBoofOps() - Constructor for class deepboof.misc.DeepBoofOps
DFunction<T extends Tensor<T>> - Interface in deepboof: Functions which also implement the backwards step and compute the gradient for all inputs.

E

elementAdd(Tensor_F32, Tensor_F32, Tensor_F32) - Static method in class deepboof.misc.TensorOps_F32: Performs element-wise addition between the two tensors and stores results in output.
elementAdd(Tensor_F64, Tensor_F64, Tensor_F64) - Static method in class deepboof.misc.TensorOps_F64: Performs element-wise addition between the two tensors and stores results in output.
elementMult(Tensor_F32, float) - Static method in class deepboof.misc.TensorOps_F32: Performs an element-wise scalar multiplication on the tensor
elementMult(Tensor_F32, float, Tensor_F32) - Static method in class deepboof.misc.TensorOps_F32: Performs an element-wise scalar multiplication
elementMult(Tensor_F32, Tensor_F32, Tensor_F32) - Static method in class deepboof.misc.TensorOps_F32: Performs element-wise multiplication between the two tensors and stores results in output.
elementMult(Tensor_F64, double) - Static method in class deepboof.misc.TensorOps_F64: Performs an element-wise scalar multiplication on the tensor
elementMult(Tensor_F64, double, Tensor_F64) - Static method in class deepboof.misc.TensorOps_F64: Performs an element-wise scalar multiplication
elementMult(Tensor_F64, Tensor_F64, Tensor_F64) - Static method in class deepboof.misc.TensorOps_F64: Performs element-wise multiplication between the two tensors and stores results in output.
elementSum(Tensor) - Static method in class deepboof.misc.TensorOps: Computes the sum of all the elements in the tensor
elementSum(Tensor_F32) - Static method in class deepboof.misc.TensorOps_F32: Computes the sum of all the elements in the tensor
elementSum(Tensor_F64) - Static method in class deepboof.misc.TensorOps_F64: Computes the sum of all the elements in the tensor
ElementWiseFunction<T extends Tensor> - Class in deepboof.impl.forward.standard: Base class for element-wise functions
ElementWiseFunction() - Constructor for class deepboof.impl.forward.standard.ElementWiseFunction
EPS - Variable in class deepboof.impl.forward.standard.FunctionBatchNorm_F32
EPS - Variable in class deepboof.impl.forward.standard.FunctionBatchNorm_F64
evaluating() - Method in interface deepboof.DFunction: Puts the function into evaluation mode.
EXTEND - deepboof.PaddingType: Input is padded with values which extend the nearest element

F

F - Variable in class deepboof.forward.ConfigConvolve2D: Number of kernels
F - Variable in class deepboof.impl.forward.standard.SpatialConvolve2D_F32
F - Variable in class deepboof.impl.forward.standard.SpatialConvolve2D_F64
factory - Variable in class deepboof.graph.FunctionSequence
FactoryForwards - Class in deepboof.factory
FactoryForwards() - Constructor for class deepboof.factory.FactoryForwards
fill(Tensor, double) - Static method in class deepboof.misc.TensorOps
fill(Tensor_F32, float) - Static method in class deepboof.misc.TensorOps_F32: Fills the tensor with the specified value
fill(Tensor_F64, double) - Static method in class deepboof.misc.TensorOps_F64: Fills the tensor with the specified value
fillSpatialBorder(Tensor_F32, int[], int, int, int, int, float) - Static method in class deepboof.misc.TensorOps_F32: Fills the border with the specified value.
fillSpatialBorder(Tensor_F64, int[], int, int, int, int, double) - Static method in class deepboof.misc.TensorOps_F64: Fills the border with the specified value.
findInput() - Method in class deepboof.graph.SequenceForwardOrder: Finds the input node.
forward(T, T) - Method in interface deepboof.forward.ActivationReLU: Applies the ReLU operator to each element in the input tensor and saves the results in the output tensor.
forward(T, T) - Method in interface deepboof.forward.FunctionBatchNorm: Applies batch normalization to each variable in the input.
forward(T, T) - Method in interface deepboof.forward.FunctionElementWiseMult: Performs scalar multiplication on each element in the input tensor.
forward(T, T) - Method in interface deepboof.forward.FunctionLinear: Input tensor shape =(N, d[i], ...
forward(T, T) - Method in interface deepboof.forward.SpatialBatchNorm: Performs batch norm on spatial data.
forward(T, T) - Method in interface deepboof.forward.SpatialConvolve2D: Applies forward spacial convolution.
forward(T, T) - Method in interface deepboof.forward.SpatialPooling: Processes a spatial tensor.
forward(T, T) - Method in interface deepboof.Function: Performs forward pass of the function on the provided inputs.
forward(T, T) - Method in class deepboof.impl.forward.standard.BaseFunction
forwardAt_border(SpatialPadding2D_F32, int, int, int, int, int) - Method in class deepboof.impl.forward.standard.SpatialConvolve2D_F32
forwardAt_border(SpatialPadding2D_F32, int, int, int, int, int, int) - Method in class deepboof.impl.forward.standard.SpatialAveragePooling_F32
forwardAt_border(SpatialPadding2D_F32, int, int, int, int, int, int) - Method in class deepboof.impl.forward.standard.SpatialMaxPooling_F32
forwardAt_border(SpatialPadding2D_F64, int, int, int, int, int) - Method in class deepboof.impl.forward.standard.SpatialConvolve2D_F64
forwardAt_border(SpatialPadding2D_F64, int, int, int, int, int, int) - Method in class deepboof.impl.forward.standard.SpatialAveragePooling_F64
forwardAt_border(SpatialPadding2D_F64, int, int, int, int, int, int) - Method in class deepboof.impl.forward.standard.SpatialMaxPooling_F64
forwardAt_border(P, int, int, int, int, int) - Method in class deepboof.impl.forward.standard.SpatialWindowImage: Applies the operations at the specified window and stores the results at the specified output coordinate.
forwardAt_border(VT, int, int, int, int, int, int) - Method in class deepboof.impl.forward.standard.SpatialWindowChannel: Applies the operations at the specified window and stores the results at the specified output coordinate.
forwardAt_inner(Tensor_F32, int, int, int, int, int) - Method in class deepboof.impl.forward.standard.SpatialConvolve2D_F32
forwardAt_inner(Tensor_F32, int, int, int, int, int, int) - Method in class deepboof.impl.forward.standard.SpatialAveragePooling_F32
forwardAt_inner(Tensor_F32, int, int, int, int, int, int) - Method in class deepboof.impl.forward.standard.SpatialMaxPooling_F32
forwardAt_inner(Tensor_F64, int, int, int, int, int) - Method in class deepboof.impl.forward.standard.SpatialConvolve2D_F64
forwardAt_inner(Tensor_F64, int, int, int, int, int, int) - Method in class deepboof.impl.forward.standard.SpatialAveragePooling_F64
forwardAt_inner(Tensor_F64, int, int, int, int, int, int) - Method in class deepboof.impl.forward.standard.SpatialMaxPooling_F64
forwardAt_inner(T, int, int, int, int, int) - Method in class deepboof.impl.forward.standard.SpatialWindowImage: Applies the operations at the specified window and stores the results at the specified output coordinate.
forwardAt_inner(T, int, int, int, int, int, int) - Method in class deepboof.impl.forward.standard.SpatialWindowChannel: Applies the operations at the specified window and stores the results at the specified output coordinate.
forwardChannel(T, T) - Method in class deepboof.impl.forward.standard.SpatialWindowChannel
forwardImage(T, T) - Method in class deepboof.impl.forward.standard.SpatialWindowImage
forwards(Tensor_F32, Tensor_F32, Tensor_F32, Tensor_F32, int, int, int) - Static method in class deepboof.impl.forward.standard.FunctionLinear_F32
forwards(Tensor_F64, Tensor_F64, Tensor_F64, Tensor_F64, int, int, int) - Static method in class deepboof.impl.forward.standard.FunctionLinear_F64
function - Variable in class deepboof.graph.Node: Function for this node
Function<T extends Tensor> - Interface in deepboof: High level interface for functions in an Artificial Neural Network.
FunctionBatchNorm<T extends Tensor<T>> - Interface in deepboof.forward: Implementation of a forward only Batch Normalization.
FunctionBatchNorm_F32 - Class in deepboof.impl.forward.standard: Implementation of FunctionBatchNorm for Tensor_F32.
FunctionBatchNorm_F32(boolean) - Constructor for class deepboof.impl.forward.standard.FunctionBatchNorm_F32
FunctionBatchNorm_F64 - Class in deepboof.impl.forward.standard: Implementation of FunctionBatchNorm for Tensor_F64.
FunctionBatchNorm_F64(boolean) - Constructor for class deepboof.impl.forward.standard.FunctionBatchNorm_F64
FunctionElementWiseMult<T extends Tensor> - Interface in deepboof.forward: Multiplies each element in a tensor by the same value.
FunctionElementWiseMult_F32 - Class in deepboof.impl.forward.standard: Implementation of FunctionElementWiseMult for Tensor_F32.
FunctionElementWiseMult_F32(float) - Constructor for class deepboof.impl.forward.standard.FunctionElementWiseMult_F32
FunctionElementWiseMult_F64 - Class in deepboof.impl.forward.standard: Implementation of FunctionElementWiseMult for Tensor_F64.
FunctionElementWiseMult_F64(double) - Constructor for class deepboof.impl.forward.standard.FunctionElementWiseMult_F64
FunctionLinear<T extends Tensor> - Interface in deepboof.forward: Applies a linear (or affine) equation to input array.
FunctionLinear_F32 - Class in deepboof.impl.forward.standard: Implementation of FunctionLinear for Tensor_F32.
FunctionLinear_F32(int) - Constructor for class deepboof.impl.forward.standard.FunctionLinear_F32
FunctionLinear_F64 - Class in deepboof.impl.forward.standard: Implementation of FunctionLinear for Tensor_F64.
FunctionLinear_F64(int) - Constructor for class deepboof.impl.forward.standard.FunctionLinear_F64
FunctionSequence<T extends Tensor<T>,F extends Function<T>> - Class in deepboof.graph: Processes a sequence of forward functions.
FunctionSequence(List<Node<T, F>>, Class<T>) - Constructor for class deepboof.graph.FunctionSequence: Configures the sequence

G

get(int) - Method in class deepboof.forward.SpatialPadding2D_F32: Invalid accessor.
get(int) - Method in class deepboof.forward.SpatialPadding2D_F64: Invalid accessor.
get(int) - Method in interface deepboof.tensors.VTensor_F32: Returns the element's value at the specified coordinate.
get(int) - Method in interface deepboof.tensors.VTensor_F64: Returns the element's value at the specified coordinate.
get(int...) - Method in class deepboof.forward.SpatialPadding2D_F32: Returns the element's value at the specified coordinate.
get(int...) - Method in class deepboof.forward.SpatialPadding2D_F64: Returns the element's value at the specified coordinate.
get(int...) - Method in class deepboof.tensors.Tensor_F32
get(int...) - Method in class deepboof.tensors.Tensor_F64
get(int...) - Method in interface deepboof.tensors.VTensor_F32: Returns the element's value at the specified coordinate.
get(int...) - Method in interface deepboof.tensors.VTensor_F64: Returns the element's value at the specified coordinate.
get(int, int) - Method in class deepboof.forward.SpatialPadding2D_F32: Invalid accessor.
get(int, int) - Method in class deepboof.forward.SpatialPadding2D_F64: Invalid accessor.
get(int, int) - Method in interface deepboof.tensors.VTensor_F32: Returns the element's value at the specified coordinate.
get(int, int) - Method in interface deepboof.tensors.VTensor_F64: Returns the element's value at the specified coordinate.
get(int, int, int) - Method in class deepboof.forward.SpatialPadding2D_F32: Invalid accessor.
get(int, int, int) - Method in class deepboof.forward.SpatialPadding2D_F64: Invalid accessor.
get(int, int, int) - Method in interface deepboof.tensors.VTensor_F32: Returns the element's value at the specified coordinate.
get(int, int, int) - Method in interface deepboof.tensors.VTensor_F64: Returns the element's value at the specified coordinate.
get(int, int, int, int) - Method in class deepboof.forward.SpatialPadding2D_F32: Returns the value of the virtual padded tensor at the specified coordinate.
get(int, int, int, int) - Method in class deepboof.forward.SpatialPadding2D_F64: Returns the value of the virtual padded tensor at the specified coordinate.
get(int, int, int, int) - Method in interface deepboof.tensors.VTensor_F32: Returns the element's value at the specified coordinate.
get(int, int, int, int) - Method in interface deepboof.tensors.VTensor_F64: Returns the element's value at the specified coordinate.
get(int, int, int, int, int) - Method in class deepboof.forward.SpatialPadding2D_F32: Invalid accessor.
get(int, int, int, int, int) - Method in class deepboof.forward.SpatialPadding2D_F64: Invalid accessor.
get(int, int, int, int, int) - Method in interface deepboof.tensors.VTensor_F32: Returns the element's value at the specified coordinate.
get(int, int, int, int, int) - Method in interface deepboof.tensors.VTensor_F64: Returns the element's value at the specified coordinate.
getAtIndex(int) - Method in class deepboof.tensors.Tensor_F32
getAtIndex(int) - Method in class deepboof.tensors.Tensor_F64
getClippingOffsetCol(int) - Method in interface deepboof.forward.SpatialPadding2D: Returns how far away the column is from the clipping border.
getClippingOffsetCol(int) - Method in class deepboof.impl.forward.standard.ClippedPadding2D_F32
getClippingOffsetCol(int) - Method in class deepboof.impl.forward.standard.ClippedPadding2D_F64
getClippingOffsetCol(int) - Method in class deepboof.impl.forward.standard.ConstantPadding2D_F32
getClippingOffsetCol(int) - Method in class deepboof.impl.forward.standard.ConstantPadding2D_F64
getClippingOffsetRow(int) - Method in interface deepboof.forward.SpatialPadding2D: Returns how far away the row is from the clipping border.
getClippingOffsetRow(int) - Method in class deepboof.impl.forward.standard.ClippedPadding2D_F32
getClippingOffsetRow(int) - Method in class deepboof.impl.forward.standard.ClippedPadding2D_F64
getClippingOffsetRow(int) - Method in class deepboof.impl.forward.standard.ConstantPadding2D_F32
getClippingOffsetRow(int) - Method in class deepboof.impl.forward.standard.ConstantPadding2D_F64
getConfiguration() - Method in interface deepboof.forward.SpatialConvolve2D: Returns configuration of spacial parameters
getConfiguration() - Method in interface deepboof.forward.SpatialPooling: Returns pooling configuration
getConfiguration() - Method in class deepboof.impl.forward.standard.SpatialAveragePooling_F32
getConfiguration() - Method in class deepboof.impl.forward.standard.SpatialAveragePooling_F64
getConfiguration() - Method in class deepboof.impl.forward.standard.SpatialConvolve2D_F32
getConfiguration() - Method in class deepboof.impl.forward.standard.SpatialConvolve2D_F64
getConfiguration() - Method in class deepboof.impl.forward.standard.SpatialMaxPooling_F32
getConfiguration() - Method in class deepboof.impl.forward.standard.SpatialMaxPooling_F64
getData() - Method in class deepboof.Tensor: Returns internal array used to store tensor data.
getData() - Method in class deepboof.tensors.Tensor_F32
getData() - Method in class deepboof.tensors.Tensor_F64
getData() - Method in class deepboof.tensors.Tensor_S32
getData() - Method in class deepboof.tensors.Tensor_S64
getData() - Method in class deepboof.tensors.Tensor_U8
getDataType() - Method in class deepboof.forward.SpatialPadding2D_F32
getDataType() - Method in class deepboof.forward.SpatialPadding2D_F64
getDataType() - Method in interface deepboof.ITensor: Class of primitive data type used to store tensor
getDataType() - Method in class deepboof.tensors.Tensor_F32
getDataType() - Method in class deepboof.tensors.Tensor_F64
getDataType() - Method in class deepboof.tensors.Tensor_S32
getDataType() - Method in class deepboof.tensors.Tensor_S64
getDataType() - Method in class deepboof.tensors.Tensor_U8
getDimension() - Method in class deepboof.BaseTensor: Returns the number of dimensions in the tensor
getDimension() - Method in interface deepboof.ITensor: Returns the number of dimensions in the tensor
getDouble(int...) - Method in class deepboof.Tensor: Accessor function which allows any tensor's element to be read as a double.
getDouble(int...) - Method in class deepboof.tensors.Tensor_F32
getDouble(int...) - Method in class deepboof.tensors.Tensor_F64
getDouble(int...) - Method in class deepboof.tensors.Tensor_S32
getDouble(int...) - Method in class deepboof.tensors.Tensor_S64
getDouble(int...) - Method in class deepboof.tensors.Tensor_U8
getEPS() - Method in interface deepboof.forward.BatchNorm
getEPS() - Method in class deepboof.impl.forward.standard.FunctionBatchNorm_F32
getEPS() - Method in class deepboof.impl.forward.standard.FunctionBatchNorm_F64
getNodeOutput(int) - Method in class deepboof.graph.FunctionSequence
getNumberOfOutputs() - Method in interface deepboof.forward.FunctionLinear: Returns the number of output elements.
getNumberOfOutputs() - Method in class deepboof.impl.forward.standard.FunctionLinear_F32
getNumberOfOutputs() - Method in class deepboof.impl.forward.standard.FunctionLinear_F64
getOutputShape() - Method in interface deepboof.Function: Returns the output tensor's shape, without the mini-batch dimension.
getOutputShape() - Method in class deepboof.graph.FunctionSequence
getOutputShape() - Method in interface deepboof.graph.TensorMerger
getOutputShape() - Method in class deepboof.impl.forward.standard.BaseFunction
getPadding() - Method in interface deepboof.forward.SpatialConvolve2D: Returns the padding
getPadding() - Method in class deepboof.impl.forward.standard.BaseSpatialWindow
getPaddingCol0() - Method in interface deepboof.forward.SpatialPadding2D: Returns the lower-extent padding along the tensor's columns.
getPaddingCol0() - Method in class deepboof.impl.forward.standard.BaseSpatialPadding2D: Returns the lower-extent padding along the tensor's columns.
getPaddingCol1() - Method in interface deepboof.forward.SpatialPadding2D: Returns the upper-extent padding along the tensor's columns.
getPaddingCol1() - Method in class deepboof.impl.forward.standard.BaseSpatialPadding2D: Returns the upper-extent padding along the tensor's columns.
getPaddingRow0() - Method in interface deepboof.forward.SpatialPadding2D: Returns the lower-extent padding along the tensor's rows.
getPaddingRow0() - Method in class deepboof.impl.forward.standard.BaseSpatialPadding2D: Returns the lower-extent padding along the tensor's rows.
getPaddingRow1() - Method in interface deepboof.forward.SpatialPadding2D: Returns the upper-extent padding along the tensor's rows.
getPaddingRow1() - Method in class deepboof.impl.forward.standard.BaseSpatialPadding2D: Returns the upper-extent padding along the tensor's rows.
getPaddingValue() - Method in interface deepboof.forward.ConstantPadding2D
getPaddingValue() - Method in class deepboof.impl.forward.standard.ConstantPadding2D_F32
getPaddingValue() - Method in class deepboof.impl.forward.standard.ConstantPadding2D_F64
getParameters() - Method in interface deepboof.Function: If the parameters have been set, then this returns the list of parameters.
getParameters() - Method in class deepboof.impl.forward.standard.BaseFunction
getParameterShapes() - Method in interface deepboof.Function: Returns the shape of input tensors, without the mini-batch dimension.
getParameterShapes() - Method in class deepboof.impl.forward.standard.BaseFunction
getPeriodX() - Method in class deepboof.forward.ConfigSpatial: The period at which the kernel samples the input image along the x-axis
getPeriodY() - Method in class deepboof.forward.ConfigSpatial: The period at which the kernel samples the input image along the y-axis
getScalar() - Method in class deepboof.impl.forward.standard.FunctionElementWiseMult_F32
getScalar() - Method in class deepboof.impl.forward.standard.FunctionElementWiseMult_F64
getSequence() - Method in class deepboof.graph.FunctionSequence
getShape() - Method in class deepboof.BaseTensor: Returns the internal array that specifies the tensor's shape.
getShape() - Method in interface deepboof.ITensor: Returns the internal array that specifies the tensor's shape.
getTensorType() - Method in interface deepboof.forward.SpatialPadding2D: Returns the type of input tensor it can process
getTensorType() - Method in interface deepboof.Function: Returns the type of tensor it can process
getTensorType() - Method in class deepboof.graph.FunctionSequence
getTensorType() - Method in class deepboof.impl.forward.standard.ActivationReLU_F32
getTensorType() - Method in class deepboof.impl.forward.standard.ActivationReLU_F64
getTensorType() - Method in class deepboof.impl.forward.standard.ActivationSigmoid_F32
getTensorType() - Method in class deepboof.impl.forward.standard.ActivationSigmoid_F64
getTensorType() - Method in class deepboof.impl.forward.standard.ActivationTanH_F32
getTensorType() - Method in class deepboof.impl.forward.standard.ActivationTanH_F64
getTensorType() - Method in class deepboof.impl.forward.standard.ClippedPadding2D_F32
getTensorType() - Method in class deepboof.impl.forward.standard.ClippedPadding2D_F64
getTensorType() - Method in class deepboof.impl.forward.standard.ConstantPadding2D_F32
getTensorType() - Method in class deepboof.impl.forward.standard.ConstantPadding2D_F64
getTensorType() - Method in class deepboof.impl.forward.standard.FunctionBatchNorm_F32
getTensorType() - Method in class deepboof.impl.forward.standard.FunctionBatchNorm_F64
getTensorType() - Method in class deepboof.impl.forward.standard.FunctionElementWiseMult_F32
getTensorType() - Method in class deepboof.impl.forward.standard.FunctionElementWiseMult_F64
getTensorType() - Method in class deepboof.impl.forward.standard.FunctionLinear_F32
getTensorType() - Method in class deepboof.impl.forward.standard.FunctionLinear_F64
getTensorType() - Method in class deepboof.impl.forward.standard.SpatialAveragePooling_F32
getTensorType() - Method in class deepboof.impl.forward.standard.SpatialAveragePooling_F64
getTensorType() - Method in class deepboof.impl.forward.standard.SpatialConvolve2D_F32
getTensorType() - Method in class deepboof.impl.forward.standard.SpatialConvolve2D_F64
getTensorType() - Method in class deepboof.impl.forward.standard.SpatialMaxPooling_F32
getTensorType() - Method in class deepboof.impl.forward.standard.SpatialMaxPooling_F64
getTensorType() - Method in class deepboof.misc.TensorFactory
getTotalKernels() - Method in class deepboof.forward.ConfigConvolve2D: Number of kernels which will be convolved across the input.
getX0() - Method in class deepboof.forward.ConfigPadding: Padding applied to input data along the lower extent of X axis
getX1() - Method in class deepboof.forward.ConfigPadding: Padding applied to input data along the upper extent of X axis
getY0() - Method in class deepboof.forward.ConfigPadding: Padding applies to input data along the lower extent of Y axis
getY1() - Method in class deepboof.forward.ConfigPadding: Padding applies to input data along the upper extent of Y axis

H

H - Variable in class deepboof.impl.forward.standard.BaseSpatialWindow
hasGammaBeta() - Method in interface deepboof.forward.BatchNorm: If it returns true then it expects a second set of parameters that defines gamma and beta.
hasGammaBeta() - Method in class deepboof.impl.forward.standard.FunctionBatchNorm_F32
hasGammaBeta() - Method in class deepboof.impl.forward.standard.FunctionBatchNorm_F64
HH - Variable in class deepboof.forward.ConfigSpatial: Window height
HH - Variable in class deepboof.impl.forward.standard.BaseSpatialWindow
Ho - Variable in class deepboof.impl.forward.standard.BaseSpatialWindow
Hp - Variable in class deepboof.impl.forward.standard.BaseSpatialWindow

I

idx(int) - Method in class deepboof.Tensor: Specialized version of Tensor.idx(int...) for 1-D tensors.
idx(int...) - Method in class deepboof.Tensor: Returns the index of the coordinate.
idx(int, int) - Method in class deepboof.Tensor: Specialized version of Tensor.idx(int...) for 2-D tensors.
idx(int, int, int) - Method in class deepboof.Tensor: Specialized version of Tensor.idx(int...) for 3-D tensors.
idx(int, int, int, int) - Method in class deepboof.Tensor: Specialized version of Tensor.idx(int...) for 4-D tensors.
idx(int, int, int, int, int) - Method in class deepboof.Tensor: Specialized version of Tensor.idx(int...) for 5-D tensors.
indexToCoor(int, int[]) - Method in class deepboof.Tensor: Converts an array index into a coordinate
initialize(int...) - Method in interface deepboof.Function: Initializes internal data structures given the shape of the input tensor, minus the stacked input dimension.
initialize(int[]) - Method in class deepboof.graph.FunctionSequence: Initialize and declare memory for all nodes in the network given the shape of the input tensor
initialize(int...) - Method in class deepboof.impl.forward.standard.BaseFunction
initialize(List<int[]>) - Method in interface deepboof.graph.TensorMerger
innerArrayGrow(int) - Method in class deepboof.Tensor: Re-declare inner array so that it is at least of length N
innerArrayGrow(int) - Method in class deepboof.tensors.Tensor_F32
innerArrayGrow(int) - Method in class deepboof.tensors.Tensor_F64
innerArrayGrow(int) - Method in class deepboof.tensors.Tensor_S32
innerArrayGrow(int) - Method in class deepboof.tensors.Tensor_S64
innerArrayGrow(int) - Method in class deepboof.tensors.Tensor_U8
innerArrayLength() - Method in class deepboof.Tensor: Length of inner array as returned by "data.length"
innerArrayLength() - Method in class deepboof.tensors.Tensor_F32
innerArrayLength() - Method in class deepboof.tensors.Tensor_F64
innerArrayLength() - Method in class deepboof.tensors.Tensor_S32
innerArrayLength() - Method in class deepboof.tensors.Tensor_S64
innerArrayLength() - Method in class deepboof.tensors.Tensor_U8
innerLowerExtent(int, int) - Static method in class deepboof.impl.forward.standard.BaseSpatialWindow: The lower extent in output coordinates for regions that are contained entirely inside the original image.
innerUpperExtent(int, int, int, int) - Static method in class deepboof.impl.forward.standard.BaseSpatialWindow: The upper extent int output coordinates for regions that are contained entirely inside the original image.
input - Variable in class deepboof.impl.forward.standard.BaseSpatialPadding2D
InputAddress - Class in deepboof.graph: Address which points to the input of a node
InputAddress() - Constructor for class deepboof.graph.InputAddress
InputAddress(String) - Constructor for class deepboof.graph.InputAddress
insertSpatial(Tensor_F32, int[], Tensor_F32, int[]) - Static method in class deepboof.misc.TensorOps_F32: Inserts the spatial region of one tensor into another.
insertSpatial(Tensor_F64, int[], Tensor_F64, int[]) - Static method in class deepboof.misc.TensorOps_F64: Inserts the spatial region of one tensor into another.
insertSubChannel(Tensor_F32, int, int, Tensor_F32, int, int, int, int) - Static method in class deepboof.misc.TensorOps_F32: Used to copy a sub-image between two image tensors.
insertSubChannel(Tensor_F64, int, int, Tensor_F64, int, int, int, int) - Static method in class deepboof.misc.TensorOps_F64: Used to copy a sub-image between two image tensors.
isClipped() - Method in interface deepboof.forward.SpatialPadding2D: Returns true if this is a clipped border or false of it is not.
isClipped() - Method in class deepboof.impl.forward.standard.ClippedPadding2D_F32
isClipped() - Method in class deepboof.impl.forward.standard.ClippedPadding2D_F64
isClipped() - Method in class deepboof.impl.forward.standard.ConstantPadding2D_F32
isClipped() - Method in class deepboof.impl.forward.standard.ConstantPadding2D_F64
isEntirelyBorder(int, int) - Method in class deepboof.impl.forward.standard.BaseSpatialWindow: Do all regions interact with the image border? The provided point is the lower-extent of the output pixel which doesn't interact with input image border.
isLearning() - Method in interface deepboof.DFunction: Is the function in the learning state?
isShape(int...) - Method in class deepboof.BaseTensor: Checks to see if the supplied shape is the same as the tensor's shape
isShape(int...) - Method in interface deepboof.ITensor: Checks to see if the supplied shape is the same as the tensor's shape
isSub() - Method in class deepboof.Tensor: Returns true if it is a sub-tensor.
ITensor - Interface in deepboof: Tensor Interface

L

learning() - Method in interface deepboof.DFunction: Puts the function into learning mode.
length() - Method in class deepboof.Tensor: Length of used elements in Tensor's data array.
length(int) - Method in class deepboof.BaseTensor: Returns the length of a dimension/axis.
length(int) - Method in interface deepboof.ITensor: Returns the length of a dimension/axis.
length(int) - Method in class deepboof.Tensor: Returns the length of a dimension/axis.
lookup - Variable in class deepboof.graph.FunctionSequence

M

M - Variable in class deepboof.impl.forward.standard.FunctionLinear_F32
M - Variable in class deepboof.impl.forward.standard.FunctionLinear_F64
MAX_NEGATIVE - deepboof.PaddingType: Input is padded with the most negative possible number
MAX_POSITIVE - deepboof.PaddingType: Input is padded with the most positive possible number
miniBatchSize - Variable in class deepboof.impl.forward.standard.BaseFunction: Number of inputs in the mini-batch

N

N - Variable in class deepboof.impl.forward.standard.BaseSpatialWindow
name - Variable in class deepboof.graph.Node: Unique identifier for this function
Node<T extends Tensor<T>,F extends Function<T>> - Class in deepboof.graph: Node in a network graph which describes the network's processing sequence.
Node() - Constructor for class deepboof.graph.Node
NodeData(Node<?, ?>) - Constructor for class deepboof.graph.SequenceForwardOrder.NodeData
nodeName - Variable in class deepboof.graph.InputAddress

O

outerLength(int[], int) - Static method in class deepboof.misc.TensorOps: Computes the number of elements for an inner portion of the tensor starting at the specified index and going outside
output - Variable in class deepboof.impl.forward.standard.SpatialWindowChannel
output - Variable in class deepboof.impl.forward.standard.SpatialWindowImage
outputStorage - Variable in class deepboof.graph.FunctionSequence

P

padding - Variable in class deepboof.impl.forward.standard.BaseSpatialWindow
PaddingType - Enum in deepboof: Specifies the type of padding applied to a spacial function.
parameters - Variable in class deepboof.impl.forward.standard.BaseFunction
params - Variable in class deepboof.impl.forward.standard.FunctionBatchNorm_F32
params - Variable in class deepboof.impl.forward.standard.FunctionBatchNorm_F64
pathData(String) - Static method in class deepboof.misc.DeepBoofOps
pathToBase() - Static method in class deepboof.misc.DeepBoofOps
pathToRoot() - Static method in class deepboof.misc.TensorOps
periodX - Variable in class deepboof.forward.ConfigSpatial: Sample period.
periodY - Variable in class deepboof.forward.ConfigSpatial: Sample period.
poolingSize - Variable in class deepboof.impl.forward.standard.SpatialAveragePooling_F32
poolingSize - Variable in class deepboof.impl.forward.standard.SpatialAveragePooling_F64
printSpatial(Tensor_F32, int, int) - Static method in class deepboof.misc.TensorOps_F32: Prints a single batch and channel in a spatial tensor
printSpatial(Tensor_F64, int, int) - Static method in class deepboof.misc.TensorOps_F64: Prints a single batch and channel in a spatial tensor
process(T, T) - Method in class deepboof.graph.FunctionSequence: Process the input tensor and compute the output tensor by feeding the results through the network.
putIntoForwardOrder() - Method in class deepboof.graph.SequenceForwardOrder: Orders list to ensure sequential forward ordering of nodes.

R

random(Random, boolean, double, double, int...) - Method in class deepboof.misc.TensorFactory
random(Random, boolean, int...) - Static method in class deepboof.misc.TensorFactory_F32: Creates a random tensor with the specified shape and values from -1 to 1
random(Random, boolean, int...) - Static method in class deepboof.misc.TensorFactory_F64: Creates a random tensor with the specified shape and values from -1 to 1
random(Random, boolean, int...) - Method in class deepboof.misc.TensorFactory
randomM(Random, boolean, int, int[]) - Method in class deepboof.misc.TensorFactory: Creates a random tensor with the specified shape and values from -1 to 1
randomMM(Random, boolean, double, double, int...) - Static method in class deepboof.misc.TensorFactory_F64: Creates a random tensor with the specified shape and value range
randomMM(Random, boolean, double, double, List<int[]>) - Static method in class deepboof.misc.TensorFactory_F64: Creates a random tensor with the specified shape and value range
randomMM(Random, boolean, float, float, int...) - Static method in class deepboof.misc.TensorFactory_F32: Creates a random tensor with the specified shape and value range
randomMM(Random, boolean, float, float, List<int[]>) - Static method in class deepboof.misc.TensorFactory_F32: Creates a random tensor with the specified shape and value range
randomMM(Random, double, double, Tensor_F64) - Static method in class deepboof.misc.TensorFactory_F64: Fills the tensor with random numbers selected from a uniform distribution.
randomMM(Random, float, float, Tensor_F32) - Static method in class deepboof.misc.TensorFactory_F32: Fills the tensor with random numbers selected from a uniform distribution.
requiresGammaBeta - Variable in class deepboof.impl.forward.standard.FunctionBatchNorm_F32
requiresGammaBeta - Variable in class deepboof.impl.forward.standard.FunctionBatchNorm_F64
reset() - Method in class deepboof.graph.SequenceForwardOrder.NodeData
reshape() - Method in class deepboof.Tensor: Reshape for when the inner shape variable has already been adjusted.
reshape(int) - Method in class deepboof.Tensor: Reshape for 1-D tensors.
reshape(int...) - Method in class deepboof.Tensor: Reshape for an arbitrary number of dimensions
reshape(int, int) - Method in class deepboof.Tensor: Reshape for 2-D tensors.
reshape(int, int, int) - Method in class deepboof.Tensor: Reshape for 3-D tensors.
reshape(int, int, int, int) - Method in class deepboof.Tensor: Reshape for 4-D tensors.
reshape(int, int, int, int, int) - Method in class deepboof.Tensor: Reshape for 5-D tensors.
ROW0 - Variable in class deepboof.impl.forward.standard.BaseSpatialPadding2D
ROW1 - Variable in class deepboof.impl.forward.standard.BaseSpatialPadding2D

S

sequence - Variable in class deepboof.graph.FunctionSequence
SequenceForwardOrder - Class in deepboof.graph: Orders an unsorted list of nodes so that they can be processed in sequence and have all of their dependencies meet prior to being invoked.
SequenceForwardOrder(List<Node<?, ?>>) - Constructor for class deepboof.graph.SequenceForwardOrder: Constructor
SequenceForwardOrder.NodeData - Class in deepboof.graph
setData(Object) - Method in class deepboof.Tensor: Used to change the internal array in an abstract way
setData(Object) - Method in class deepboof.tensors.Tensor_F32
setData(Object) - Method in class deepboof.tensors.Tensor_F64
setData(Object) - Method in class deepboof.tensors.Tensor_S32
setData(Object) - Method in class deepboof.tensors.Tensor_S64
setData(Object) - Method in class deepboof.tensors.Tensor_U8
setEPS(double) - Method in interface deepboof.forward.BatchNorm: Used to specify the EPS value.
setEPS(double) - Method in class deepboof.impl.forward.standard.FunctionBatchNorm_F32
setEPS(double) - Method in class deepboof.impl.forward.standard.FunctionBatchNorm_F64
setInput(T) - Method in interface deepboof.forward.SpatialPadding2D: Spatial tensor that padding is being added around
setInput(T) - Method in class deepboof.impl.forward.standard.BaseSpatialPadding2D: Spatial tensor that padding is being added around
setParameters(List<T>) - Method in interface deepboof.forward.ActivationReLU: Can skip.
setParameters(List<T>) - Method in interface deepboof.forward.FunctionBatchNorm: See FunctionBatchNorm.forward(T, T) for a description of parameters.
setParameters(List<T>) - Method in interface deepboof.forward.FunctionLinear: See FunctionLinear.forward(T, T) for a description of parameters.
setParameters(List<T>) - Method in interface deepboof.forward.SpatialBatchNorm: See SpatialBatchNorm.forward(T, T) for a description of parameters.
setParameters(List<T>) - Method in interface deepboof.forward.SpatialConvolve2D: See SpatialConvolve2D.forward(T, T) for a description of parameters.
setParameters(List<T>) - Method in interface deepboof.forward.SpatialPooling: Can skip.
setParameters(List<T>) - Method in interface deepboof.Function: Specifies learnable function parameters, e.g.
setParameters(List<T>) - Method in class deepboof.impl.forward.standard.BaseFunction
setParameters(Map<String, List<T>>) - Method in class deepboof.graph.FunctionSequence: Specify the parameters for each node in the network
setTo(T) - Method in class deepboof.Tensor: Turns 'this' tensor into a copy of the provided tensor.
shape - Variable in class deepboof.BaseTensor: The lengths of each dimension/axis.
shapeGivenInput(int...) - Method in interface deepboof.forward.SpatialPadding2D: Returns what the tensor's shape will be when given can input tensor with the spcified shape.
shapeGivenInput(int...) - Method in class deepboof.impl.forward.standard.BaseSpatialPadding2D: Returns what the tensor's shape will be when given can input tensor with the spcified shape.
shapeInput - Variable in class deepboof.impl.forward.standard.BaseFunction
shapeOutput - Variable in class deepboof.impl.forward.standard.BaseFunction
shapeParameters - Variable in class deepboof.impl.forward.standard.BaseFunction
sources - Variable in class deepboof.graph.Node: Specifies locations of inputs to this function
SpatialAveragePooling<T extends Tensor> - Interface in deepboof.forward: Max spatial pooling find the average value inside the pooling region.
SpatialAveragePooling_F32 - Class in deepboof.impl.forward.standard: Implementation of SpatialAveragePooling for Tensor_F32.
SpatialAveragePooling_F32(ConfigSpatial, SpatialPadding2D_F32) - Constructor for class deepboof.impl.forward.standard.SpatialAveragePooling_F32
SpatialAveragePooling_F64 - Class in deepboof.impl.forward.standard: Implementation of SpatialAveragePooling for Tensor_F64.
SpatialAveragePooling_F64(ConfigSpatial, SpatialPadding2D_F64) - Constructor for class deepboof.impl.forward.standard.SpatialAveragePooling_F64
SpatialBatchNorm<T extends Tensor<T>> - Interface in deepboof.forward: Spatial Batch Normalization seeks to maintain the convolutional property, "that different elements of the same feature map, at different locations, are normalized in the same way." [1] Thus the input tensor (N,C,H,W) is "reshaped" such that it is (N*H*W,C) and it's treated like a mini-batch with N*H*W elements.
SpatialBatchNorm_F32 - Class in deepboof.impl.forward.standard: Implementation of SpatialBatchNorm for Tensor_F32
SpatialBatchNorm_F32(boolean) - Constructor for class deepboof.impl.forward.standard.SpatialBatchNorm_F32
SpatialBatchNorm_F64 - Class in deepboof.impl.forward.standard: Implementation of SpatialBatchNorm for Tensor_F64
SpatialBatchNorm_F64(boolean) - Constructor for class deepboof.impl.forward.standard.SpatialBatchNorm_F64
SpatialConvolve2D<T extends Tensor<T>> - Interface in deepboof.forward: Performs convolutions across an input image with special kernels that have 'C' channels, one for each input image.
SpatialConvolve2D_F32 - Class in deepboof.impl.forward.standard: Implementation of SpatialConvolve2D for Tensor_F32
SpatialConvolve2D_F32(ConfigConvolve2D, SpatialPadding2D_F32) - Constructor for class deepboof.impl.forward.standard.SpatialConvolve2D_F32
SpatialConvolve2D_F64 - Class in deepboof.impl.forward.standard: Implementation of SpatialConvolve2D for Tensor_F64
SpatialConvolve2D_F64(ConfigConvolve2D, SpatialPadding2D_F64) - Constructor for class deepboof.impl.forward.standard.SpatialConvolve2D_F64
SpatialMaxPooling<T extends Tensor> - Interface in deepboof.forward: Max spatial pooling find the maximum value inside the pooling region.
SpatialMaxPooling_F32 - Class in deepboof.impl.forward.standard: Implementation of SpatialMaxPooling for Tensor_F32.
SpatialMaxPooling_F32(ConfigSpatial, SpatialPadding2D_F32) - Constructor for class deepboof.impl.forward.standard.SpatialMaxPooling_F32
SpatialMaxPooling_F64 - Class in deepboof.impl.forward.standard: Implementation of SpatialMaxPooling for Tensor_F64.
SpatialMaxPooling_F64(ConfigSpatial, SpatialPadding2D_F64) - Constructor for class deepboof.impl.forward.standard.SpatialMaxPooling_F64
spatialPadding(ConfigPadding, Class<T>) - Static method in class deepboof.factory.FactoryForwards
SpatialPadding2D<T extends Tensor<T>> - Interface in deepboof.forward: Interface for all virtual 2D spatial padding implementation.
SpatialPadding2D_F32 - Class in deepboof.forward: Abstract class for F64 implementations of BaseSpatialPadding2D.
SpatialPadding2D_F32(ConfigPadding) - Constructor for class deepboof.forward.SpatialPadding2D_F32
SpatialPadding2D_F64 - Class in deepboof.forward: Abstract class for F64 implementations of BaseSpatialPadding2D.
SpatialPadding2D_F64(ConfigPadding) - Constructor for class deepboof.forward.SpatialPadding2D_F64
SpatialPooling<T extends Tensor> - Interface in deepboof.forward: Spatial pooling down samples the input spatial tensors by finding a representative value inside each pooling region.
SpatialWindowChannel<T extends Tensor<T>,VT extends SpatialPadding2D<T>> - Class in deepboof.impl.forward.standard: Implementation of BaseSpatialWindow which processes the spatial tensor is processed in BCHW (mini-batch, channel, height, width) order
SpatialWindowChannel(ConfigSpatial, VT) - Constructor for class deepboof.impl.forward.standard.SpatialWindowChannel
SpatialWindowImage<T extends Tensor<T>,P extends SpatialPadding2D<T>> - Class in deepboof.impl.forward.standard: Implementation of BaseSpatialWindow which processes the spatial tensor is one image in a mini batch at a time.
SpatialWindowImage(ConfigSpatial, P) - Constructor for class deepboof.impl.forward.standard.SpatialWindowImage
startIndex - Variable in class deepboof.Tensor: The index in the input array that this tensor starts at.
stride(int) - Method in class deepboof.Tensor: Returns the stride at the specified dimension.
strides - Variable in class deepboof.Tensor: Stride for each axis
subtensor - Variable in class deepboof.Tensor: If this tensor is wrapped around another array which it doesn't own then it is a sub-tensor.
subtensor(int, int[]) - Method in class deepboof.Tensor: Creates a subtensor from this tensor.
sumTensorLength(List<int[]>) - Static method in class deepboof.misc.TensorOps: Returns the total length of all the tensors in the list summed together

T

Tensor<T extends Tensor> - Class in deepboof: Base class for Tensors.
Tensor() - Constructor for class deepboof.Tensor
Tensor_F32 - Class in deepboof.tensors
Tensor_F32() - Constructor for class deepboof.tensors.Tensor_F32
Tensor_F32(int...) - Constructor for class deepboof.tensors.Tensor_F32
Tensor_F64 - Class in deepboof.tensors
Tensor_F64() - Constructor for class deepboof.tensors.Tensor_F64
Tensor_F64(int...) - Constructor for class deepboof.tensors.Tensor_F64
Tensor_S32 - Class in deepboof.tensors
Tensor_S32() - Constructor for class deepboof.tensors.Tensor_S32
Tensor_S32(int...) - Constructor for class deepboof.tensors.Tensor_S32
Tensor_S64 - Class in deepboof.tensors
Tensor_S64() - Constructor for class deepboof.tensors.Tensor_S64
Tensor_S64(int...) - Constructor for class deepboof.tensors.Tensor_S64
Tensor_U8 - Class in deepboof.tensors
Tensor_U8() - Constructor for class deepboof.tensors.Tensor_U8
Tensor_U8(int...) - Constructor for class deepboof.tensors.Tensor_U8
TensorFactory<T extends Tensor> - Class in deepboof.misc
TensorFactory(Class) - Constructor for class deepboof.misc.TensorFactory
TensorFactory_F32 - Class in deepboof.misc: Various functions for unit tests
TensorFactory_F32() - Constructor for class deepboof.misc.TensorFactory_F32
TensorFactory_F64 - Class in deepboof.misc: Various functions for unit tests
TensorFactory_F64() - Constructor for class deepboof.misc.TensorFactory_F64
tensorLength(int...) - Static method in class deepboof.misc.TensorOps: Returns the total length of one tensor
TensorMerger<T extends Tensor<T>> - Interface in deepboof.graph: Merged multiple input tensors into a single output which can be processed by a Function.
TensorOps - Class in deepboof.misc
TensorOps() - Constructor for class deepboof.misc.TensorOps
TensorOps_F32 - Class in deepboof.misc
TensorOps_F32() - Constructor for class deepboof.misc.TensorOps_F32
TensorOps_F64 - Class in deepboof.misc
TensorOps_F64() - Constructor for class deepboof.misc.TensorOps_F64
TEST_TOL_A_F32 - Static variable in class deepboof.DeepBoofConstants
TEST_TOL_A_F64 - Static variable in class deepboof.DeepBoofConstants
TEST_TOL_B_F32 - Static variable in class deepboof.DeepBoofConstants
TEST_TOL_B_F64 - Static variable in class deepboof.DeepBoofConstants
TEST_TOL_F32 - Static variable in class deepboof.DeepBoofConstants: Standard tolerance for unit tests in F32
TEST_TOL_F64 - Static variable in class deepboof.DeepBoofConstants: Standard tolerance for unit tests in F64
TH(int[]) - Static method in class deepboof.misc.TensorOps: Truncates the head (element 0) from the array
toStringShape(int[]) - Static method in class deepboof.misc.TensorOps
toStringShapeA(int[]) - Static method in class deepboof.misc.TensorOps
type - Variable in class deepboof.forward.ConfigPadding: Type of padding added to input images

V

valueOf(String) - Static method in enum deepboof.PaddingType: Returns the enum constant of this type with the specified name.
values() - Static method in enum deepboof.PaddingType: Returns an array containing the constants of this enum type, in the order they are declared.
VTensor - Interface in deepboof: A virtual tensor doesn't physically store in memory the entire tensor, instead it uses an equation to generate on the fly some or all of a tensor.
VTensor_F32 - Interface in deepboof.tensors: Virtual tensor for 64bit float types.
VTensor_F64 - Interface in deepboof.tensors: Virtual tensor for 64bit float types.

W

W - Variable in class deepboof.impl.forward.standard.BaseSpatialWindow
weights - Variable in class deepboof.impl.forward.standard.SpatialConvolve2D_F32
weights - Variable in class deepboof.impl.forward.standard.SpatialConvolve2D_F64
WI(int...) - Static method in class deepboof.misc.TensorOps: Convenience function for making it easy to create an array of ints
WI(int[], int) - Static method in class deepboof.misc.TensorOps: Convenience function for making it easy to create an array of ints
WI(int, int[]) - Static method in class deepboof.misc.TensorOps: Convenience function for making it easy to create an array of ints
WI(int, List<int[]>) - Static method in class deepboof.misc.TensorOps
Wo - Variable in class deepboof.impl.forward.standard.BaseSpatialWindow
Wp - Variable in class deepboof.impl.forward.standard.BaseSpatialWindow
wrap(byte[], int...) - Static method in class deepboof.tensors.Tensor_U8
WT(T...) - Static method in class deepboof.misc.TensorOps: Convenience function for wrapping passed in elements into a list
WW - Variable in class deepboof.forward.ConfigSpatial: Window width
WW - Variable in class deepboof.impl.forward.standard.BaseSpatialWindow

X

x0 - Variable in class deepboof.forward.ConfigPadding: Padding added to lower extent along x and y axis.
x1 - Variable in class deepboof.forward.ConfigPadding: Padding added to upper extent along x and y axis.

Y

y0 - Variable in class deepboof.forward.ConfigPadding: Padding added to lower extent along x and y axis.
y1 - Variable in class deepboof.forward.ConfigPadding: Padding added to upper extent along x and y axis.

Z

zero() - Method in class deepboof.Tensor: Sets all elements in the tensor to the value of zero
zero() - Method in class deepboof.tensors.Tensor_F32
zero() - Method in class deepboof.tensors.Tensor_F64
zero() - Method in class deepboof.tensors.Tensor_S32
zero() - Method in class deepboof.tensors.Tensor_S64
zero() - Method in class deepboof.tensors.Tensor_U8
ZERO - deepboof.PaddingType: Input is padded with zero valued elements
zeros(Random, int...) - Static method in class deepboof.misc.TensorFactory_F32: Generate a zeros tensor with the option for a sub-tensor
zeros(Random, int...) - Static method in class deepboof.misc.TensorFactory_F64: Generate a zeros tensor with the option for a sub-tensor

_

_forward(Tensor_F32, Tensor_F32) - Method in class deepboof.impl.forward.standard.ActivationReLU_F32
_forward(Tensor_F32, Tensor_F32) - Method in class deepboof.impl.forward.standard.ActivationSigmoid_F32
_forward(Tensor_F32, Tensor_F32) - Method in class deepboof.impl.forward.standard.ActivationTanH_F32
_forward(Tensor_F32, Tensor_F32) - Method in class deepboof.impl.forward.standard.FunctionBatchNorm_F32
_forward(Tensor_F32, Tensor_F32) - Method in class deepboof.impl.forward.standard.FunctionElementWiseMult_F32
_forward(Tensor_F32, Tensor_F32) - Method in class deepboof.impl.forward.standard.FunctionLinear_F32
_forward(Tensor_F32, Tensor_F32) - Method in class deepboof.impl.forward.standard.SpatialAveragePooling_F32
_forward(Tensor_F32, Tensor_F32) - Method in class deepboof.impl.forward.standard.SpatialBatchNorm_F32
_forward(Tensor_F32, Tensor_F32) - Method in class deepboof.impl.forward.standard.SpatialConvolve2D_F32
_forward(Tensor_F32, Tensor_F32) - Method in class deepboof.impl.forward.standard.SpatialMaxPooling_F32
_forward(Tensor_F64, Tensor_F64) - Method in class deepboof.impl.forward.standard.ActivationReLU_F64
_forward(Tensor_F64, Tensor_F64) - Method in class deepboof.impl.forward.standard.ActivationSigmoid_F64
_forward(Tensor_F64, Tensor_F64) - Method in class deepboof.impl.forward.standard.ActivationTanH_F64
_forward(Tensor_F64, Tensor_F64) - Method in class deepboof.impl.forward.standard.FunctionBatchNorm_F64
_forward(Tensor_F64, Tensor_F64) - Method in class deepboof.impl.forward.standard.FunctionElementWiseMult_F64
_forward(Tensor_F64, Tensor_F64) - Method in class deepboof.impl.forward.standard.FunctionLinear_F64
_forward(Tensor_F64, Tensor_F64) - Method in class deepboof.impl.forward.standard.SpatialAveragePooling_F64
_forward(Tensor_F64, Tensor_F64) - Method in class deepboof.impl.forward.standard.SpatialBatchNorm_F64
_forward(Tensor_F64, Tensor_F64) - Method in class deepboof.impl.forward.standard.SpatialConvolve2D_F64
_forward(Tensor_F64, Tensor_F64) - Method in class deepboof.impl.forward.standard.SpatialMaxPooling_F64
_forward(T, T) - Method in class deepboof.impl.forward.standard.BaseFunction
_initialize() - Method in class deepboof.impl.forward.standard.BaseFunction
_initialize() - Method in class deepboof.impl.forward.standard.BaseSpatialWindow
_initialize() - Method in class deepboof.impl.forward.standard.ElementWiseFunction
_initialize() - Method in class deepboof.impl.forward.standard.FunctionBatchNorm_F32
_initialize() - Method in class deepboof.impl.forward.standard.FunctionBatchNorm_F64
_initialize() - Method in class deepboof.impl.forward.standard.FunctionLinear_F32
_initialize() - Method in class deepboof.impl.forward.standard.FunctionLinear_F64
_initialize() - Method in class deepboof.impl.forward.standard.SpatialAveragePooling_F32
_initialize() - Method in class deepboof.impl.forward.standard.SpatialAveragePooling_F64
_initialize() - Method in class deepboof.impl.forward.standard.SpatialBatchNorm_F32
_initialize() - Method in class deepboof.impl.forward.standard.SpatialBatchNorm_F64
_initialize() - Method in class deepboof.impl.forward.standard.SpatialConvolve2D_F32
_initialize() - Method in class deepboof.impl.forward.standard.SpatialConvolve2D_F64
_initialize() - Method in class deepboof.impl.forward.standard.SpatialMaxPooling_F32
_initialize() - Method in class deepboof.impl.forward.standard.SpatialMaxPooling_F64
_relu_forwards(Tensor_F32, Tensor_F32) - Static method in class deepboof.impl.forward.standard.ActivationReLU_F32
_relu_forwards(Tensor_F64, Tensor_F64) - Static method in class deepboof.impl.forward.standard.ActivationReLU_F64
_setParameters(List<Tensor_F32>) - Method in class deepboof.impl.forward.standard.FunctionBatchNorm_F32
_setParameters(List<Tensor_F32>) - Method in class deepboof.impl.forward.standard.FunctionLinear_F32
_setParameters(List<Tensor_F32>) - Method in class deepboof.impl.forward.standard.SpatialAveragePooling_F32
_setParameters(List<Tensor_F32>) - Method in class deepboof.impl.forward.standard.SpatialConvolve2D_F32
_setParameters(List<Tensor_F32>) - Method in class deepboof.impl.forward.standard.SpatialMaxPooling_F32
_setParameters(List<Tensor_F64>) - Method in class deepboof.impl.forward.standard.FunctionBatchNorm_F64
_setParameters(List<Tensor_F64>) - Method in class deepboof.impl.forward.standard.FunctionLinear_F64
_setParameters(List<Tensor_F64>) - Method in class deepboof.impl.forward.standard.SpatialAveragePooling_F64
_setParameters(List<Tensor_F64>) - Method in class deepboof.impl.forward.standard.SpatialConvolve2D_F64
_setParameters(List<Tensor_F64>) - Method in class deepboof.impl.forward.standard.SpatialMaxPooling_F64
_setParameters(List<T>) - Method in class deepboof.impl.forward.standard.BaseFunction
_setParameters(List<T>) - Method in class deepboof.impl.forward.standard.ElementWiseFunction

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