nnet-component.h File Reference

#include <mutex>
#include "base/kaldi-common.h"
#include "itf/options-itf.h"
#include "matrix/matrix-lib.h"
#include "cudamatrix/cu-matrix-lib.h"
#include "nnet2/nnet-precondition-online.h"
#include <iostream>

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Classes
class	ChunkInfo
	ChunkInfo is a class whose purpose is to describe the structure of matrices holding features. More...
class	Component
	Abstract class, basic element of the network, it is a box with defined inputs, outputs, and tranformation functions interface. More...
class	UpdatableComponent
	Class UpdatableComponent is a Component which has trainable parameters and contains some global parameters for stochastic gradient descent (learning rate, L2 regularization constant). More...
class	NonlinearComponent
	This kind of Component is a base-class for things like sigmoid and softmax. More...
class	MaxoutComponent
class	MaxpoolingComponent
	MaxPoolingComponent : Maxpooling component was firstly used in ConvNet for selecting an representative activation in an area. More...
class	PnormComponent
class	NormalizeComponent
class	SigmoidComponent
class	TanhComponent
class	PowerComponent
	Take the absoute values of an input vector to a power. More...
class	RectifiedLinearComponent
class	SoftHingeComponent
class	ScaleComponent
class	SoftmaxComponent
class	LogSoftmaxComponent
class	AffineComponent
class	AffineComponentPreconditioned
class	AffineComponentPreconditionedOnline
	Keywords: natural gradient descent, NG-SGD, naturalgradient. More...
class	RandomComponent
class	SpliceComponent
	Splices a context window of frames together [over time]. More...
class	SpliceMaxComponent
	This is as SpliceComponent but outputs the max of any of the inputs (taking the max across time). More...
class	BlockAffineComponent
class	BlockAffineComponentPreconditioned
class	SumGroupComponent
class	PermuteComponent
	PermuteComponent does a permutation of the dimensions (by default, a fixed random permutation, but it may be specified). More...
class	DctComponent
	Discrete cosine transform. More...
class	FixedLinearComponent
	FixedLinearComponent is a linear transform that is supplied at network initialization time and is not trainable. More...
class	FixedAffineComponent
	FixedAffineComponent is an affine transform that is supplied at network initialization time and is not trainable. More...
class	FixedScaleComponent
	FixedScaleComponent applies a fixed per-element scale; it's similar to the Rescale component in the nnet1 setup (and only needed for nnet1 model conversion). More...
class	FixedBiasComponent
	FixedBiasComponent applies a fixed per-element bias; it's similar to the AddShift component in the nnet1 setup (and only needed for nnet1 model conversion. More...
class	DropoutComponent
	This Component, if present, randomly zeroes half of the inputs and multiplies the other half by two. More...
class	AdditiveNoiseComponent
	This is a bit similar to dropout but adding (not multiplying) Gaussian noise with a given standard deviation. More...
class	Convolutional1dComponent
	Convolutional1dComponent implements convolution over frequency axis. More...

Namespaces
	kaldi
	This code computes Goodness of Pronunciation (GOP) and extracts phone-level pronunciation feature for mispronunciations detection tasks, the reference:
	kaldi::nnet2

Functions
bool	ParseFromString (const std::string &name, std::string *string, int32 *param)
	Functions used in Init routines. More...
bool	ParseFromString (const std::string &name, std::string *string, BaseFloat *param)
	This version is for parameters of type BaseFloat. More...
bool	ParseFromString (const std::string &name, std::string *string, std::vector< int32 > *param)
	This version is for parameters of type std::vector<int32>; it expects them as a colon-separated list, without spaces. More...
bool	ParseFromString (const std::string &name, std::string *string, bool *param)
	This version is for parameters of type bool, which can appear as any string beginning with f, F, t or T. More...