Package deepboof.impl.backward.standard

Class Summary

Class	Description
BaseDBatchNorm_F64	Implements common functionality for all batch normalization implementations for Tensor_F64.
BaseDFunction<T extends deepboof.Tensor<T>>	Base class which implements common functionality between all DFunction
DActivationReLU_F64	Implementation of DActivationReLU for Tensor_F64
DActivationSigmoid_F64	Implementation of DActivationSigmoid for Tensor_F64.
DActivationTanH_F64	Implementation of DActivationTanH for Tensor_F64.
DClippedPadding2D_F64	Backwards implementation of ClippedPadding2D_F64.
DConstantPadding2D_F64	Backwards implementation of ConstantPadding2D_F64.
DFunctionBatchNorm_F64	Implementation of DFunctionBatchNorm for Tensor_F64.
DFunctionDropOut_F64	Implementation of DFunctionDropOut for Tensor_F64
DFunctionLinear_F64	Implementation of DFunctionLinear for Tensor_F64
DSpatialBatchNorm_F64	Implementation of DSpatialBatchNorm for Tensor_F64.
DSpatialConvolve2D_F64	Implementation of DSpatialConvolve2D for Tensor_F64.
DSpatialMaxPooling_F64	Implementation of DSpatialPadding2D_F64 for Tensor_F64 that extends DSpatialWindowChannel.
DSpatialWindowChannel<T extends deepboof.Tensor<T>,P extends DSpatialPadding2D<T>>	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.
DSpatialWindowImage<T extends deepboof.Tensor<T>,P extends DSpatialPadding2D<T>>	Backwards functions for operations which convolve a window across the input spatial tensor.
ElementWiseDFunction<T extends deepboof.Tensor<T>>	Base class for element-wise derivative functions
NumericalGradient_F64	Implementation of NumericalGradient for Tensor_F64