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CNeuralLogisticLayer类 参考

详细描述

Neural layer with linear neurons, with a logistic activation function. can be used as a hidden layer or an output layer.

When used as an output layer, a squared error measure is used

在文件 NeuralLogisticLayer.h 第 49 行定义.

类 CNeuralLogisticLayer 继承关系图:
Inheritance graph
[图例]

Public 成员函数

 CNeuralLogisticLayer ()
 
 CNeuralLogisticLayer (int32_t num_neurons)
 
virtual ~CNeuralLogisticLayer ()
 
virtual void compute_activations (SGVector< float64_t > parameters, CDynamicObjectArray *layers)
 
virtual float64_t compute_contraction_term (SGVector< float64_t > parameters)
 
virtual void compute_contraction_term_gradients (SGVector< float64_t > parameters, SGVector< float64_t > gradients)
 
virtual void compute_local_gradients (SGMatrix< float64_t > targets)
 
virtual const char * get_name () const
 
virtual void initialize_neural_layer (CDynamicObjectArray *layers, SGVector< int32_t > input_indices)
 
virtual void initialize_parameters (SGVector< float64_t > parameters, SGVector< bool > parameter_regularizable, float64_t sigma)
 
virtual void compute_activations (SGMatrix< float64_t > inputs)
 
virtual void compute_gradients (SGVector< float64_t > parameters, SGMatrix< float64_t > targets, CDynamicObjectArray *layers, SGVector< float64_t > parameter_gradients)
 
virtual float64_t compute_error (SGMatrix< float64_t > targets)
 
virtual void enforce_max_norm (SGVector< float64_t > parameters, float64_t max_norm)
 
virtual void set_batch_size (int32_t batch_size)
 
virtual bool is_input ()
 
virtual void dropout_activations ()
 
virtual int32_t get_num_neurons ()
 
virtual int32_t get_width ()
 
virtual int32_t get_height ()
 
virtual void set_num_neurons (int32_t num_neurons)
 
virtual int32_t get_num_parameters ()
 
virtual SGMatrix< float64_t > get_activations ()
 
virtual SGMatrix< float64_t > get_activation_gradients ()
 
virtual SGMatrix< float64_t > get_local_gradients ()
 
virtual SGVector< int32_t > get_input_indices ()
 
virtual CSGObject * shallow_copy () const
 
virtual CSGObject * deep_copy () const
 
virtual bool is_generic (EPrimitiveType *generic) const
 
template<class T >
void set_generic ()
 
template<>
void set_generic ()
 
template<>
void set_generic ()
 
template<>
void set_generic ()
 
template<>
void set_generic ()
 
template<>
void set_generic ()
 
template<>
void set_generic ()
 
template<>
void set_generic ()
 
template<>
void set_generic ()
 
template<>
void set_generic ()
 
template<>
void set_generic ()
 
template<>
void set_generic ()
 
template<>
void set_generic ()
 
template<>
void set_generic ()
 
template<>
void set_generic ()
 
template<>
void set_generic ()
 
void unset_generic ()
 
virtual void print_serializable (const char *prefix="")
 
virtual bool save_serializable (CSerializableFile *file, const char *prefix="")
 
virtual bool load_serializable (CSerializableFile *file, const char *prefix="")
 
void set_global_io (SGIO *io)
 
SGIO * get_global_io ()
 
void set_global_parallel (Parallel *parallel)
 
Parallel * get_global_parallel ()
 
void set_global_version (Version *version)
 
Version * get_global_version ()
 
SGStringList< char > get_modelsel_names ()
 
void print_modsel_params ()
 
char * get_modsel_param_descr (const char *param_name)
 
index_t get_modsel_param_index (const char *param_name)
 
void build_gradient_parameter_dictionary (CMap< TParameter *, CSGObject * > *dict)
 
virtual void update_parameter_hash ()
 
virtual bool parameter_hash_changed ()
 
virtual bool equals (CSGObject *other, float64_t accuracy=0.0, bool tolerant=false)
 
virtual CSGObject * clone ()
 

Public 属性

bool is_training
 
float64_t dropout_prop
 
float64_t contraction_coefficient
 
ENLAutoencoderPosition autoencoder_position
 
SGIO * io
 
Parallel * parallel
 
Version * version
 
Parameter * m_parameters
 
Parameter * m_model_selection_parameters
 
Parameter * m_gradient_parameters
 
uint32_t m_hash
 

Protected 成员函数

virtual void load_serializable_pre () throw (ShogunException)
 
virtual void load_serializable_post () throw (ShogunException)
 
virtual void save_serializable_pre () throw (ShogunException)
 
virtual void save_serializable_post () throw (ShogunException)
 

Protected 属性

int32_t m_num_neurons
 
int32_t m_width
 
int32_t m_height
 
int32_t m_num_parameters
 
SGVector< int32_t > m_input_indices
 
SGVector< int32_t > m_input_sizes
 
int32_t m_batch_size
 
SGMatrix< float64_t > m_activations
 
SGMatrix< float64_t > m_activation_gradients
 
SGMatrix< float64_t > m_local_gradients
 
SGMatrix< bool > m_dropout_mask
 

构造及析构函数说明

CNeuralLogisticLayer ( )

default constructor

在文件 NeuralLogisticLayer.cpp 第 40 行定义.

CNeuralLogisticLayer ( int32_t  num_neurons)

Constuctor

参数
num_neuronsNumber of neurons in this layer

在文件 NeuralLogisticLayer.cpp 第 44 行定义.

virtual ~CNeuralLogisticLayer ( )
virtual

在文件 NeuralLogisticLayer.h 第 61 行定义.

成员函数说明

void build_gradient_parameter_dictionary ( CMap< TParameter *, CSGObject * > *  dict)
inherited

Builds a dictionary of all parameters in SGObject as well of those of SGObjects that are parameters of this object. Dictionary maps parameters to the objects that own them.

参数
dictdictionary of parameters to be built.

在文件 SGObject.cpp 第 597 行定义.

CSGObject * clone ( )
virtualinherited

Creates a clone of the current object. This is done via recursively traversing all parameters, which corresponds to a deep copy. Calling equals on the cloned object always returns true although none of the memory of both objects overlaps.

返回
an identical copy of the given object, which is disjoint in memory. NULL if the clone fails. Note that the returned object is SG_REF'ed

在文件 SGObject.cpp 第 714 行定义.

void compute_activations ( SGVector< float64_t >  parameters,
CDynamicObjectArray *  layers 
)
virtual

Computes the activations of the neurons in this layer, results should be stored in m_activations. To be used only with non-input layers

参数
parametersVector of size get_num_parameters(), contains the parameters of the layer
layersArray of layers that form the network that this layer is being used with

重载 CNeuralLinearLayer .

在文件 NeuralLogisticLayer.cpp 第 49 行定义.

virtual void compute_activations ( SGMatrix< float64_t >  inputs)
virtualinherited

Computes the activations of the neurons in this layer, results should be stored in m_activations. To be used only with input layers

参数
inputsactivations of the neurons in the previous layer, matrix of size previous_layer_num_neurons * batch_size

被 CNeuralInputLayer 重载.

在文件 NeuralLayer.h 第 153 行定义.

float64_t compute_contraction_term ( SGVector< float64_t >  parameters)
virtual

Computes

\[ \frac{\lambda}{N} \sum_{k=0}^{N-1} \left \| J(x_k) \right \|^2_F \]

where \( \left \| J(x_k)) \right \|^2_F \) is the Frobenius norm of the Jacobian of the activations of the hidden layer with respect to its inputs, \( N \) is the batch size, and \( \lambda \) is the contraction coefficient.

Should be implemented by layers that support being used as a hidden layer in a contractive autoencoder.

参数
parametersVector of size get_num_parameters(), contains the parameters of the layer

重载 CNeuralLinearLayer .

在文件 NeuralLogisticLayer.cpp 第 60 行定义.

void compute_contraction_term_gradients ( SGVector< float64_t >  parameters,
SGVector< float64_t >  gradients 
)
virtual

Adds the gradients of

\[ \frac{\lambda}{N} \sum_{k=0}^{N-1} \left \| J(x_k) \right \|^2_F \]

to the gradients vector, where \( \left \| J(x_k)) \right \|^2_F \) is the Frobenius norm of the Jacobian of the activations of the hidden layer with respect to its inputs, \( N \) is the batch size, and \( \lambda \) is the contraction coefficient.

Should be implemented by layers that support being used as a hidden layer in a contractive autoencoder.

参数
parametersVector of size get_num_parameters(), contains the parameters of the layer
gradientsVector of size get_num_parameters(). Gradients of the contraction term will be added to it

重载 CNeuralLinearLayer .

在文件 NeuralLogisticLayer.cpp 第 85 行定义.

float64_t compute_error ( SGMatrix< float64_t >  targets)
virtualinherited

Computes the error between the layer's current activations and the given target activations. Should only be used with output layers

参数
targetsdesired values for the layer's activations, matrix of size num_neurons*batch_size

重载 CNeuralLayer .

被 CNeuralSoftmaxLayer 重载.

在文件 NeuralLinearLayer.cpp 第 260 行定义.

void compute_gradients ( SGVector< float64_t >  parameters,
SGMatrix< float64_t >  targets,
CDynamicObjectArray *  layers,
SGVector< float64_t >  parameter_gradients 
)
virtualinherited

Computes the gradients that are relevent to this layer:

  • The gradients of the error with respect to the layer's parameters -The gradients of the error with respect to the layer's inputs

    Input gradients for layer i that connects into this layer as input are added to m_layers.element(i).get_activation_gradients()

    Deriving classes should make sure to account for dropout [Hinton, 2012] during gradient computations

    参数
    parametersVector of size get_num_parameters(), contains the parameters of the layer
    targetsa matrix of size num_neurons*batch_size. If the layer is being used as an output layer, targets is the desired values for the layer's activations, otherwise it's an empty matrix
    layersArray of layers that form the network that this layer is being used with
    parameter_gradientsVector of size get_num_parameters(). To be filled with gradients of the error with respect to each parameter of the layer

重载 CNeuralLayer .

在文件 NeuralLinearLayer.cpp 第 135 行定义.

void compute_local_gradients ( SGMatrix< float64_t >  targets)
virtual

Computes the gradients of the error with respect to this layer's pre-activations. Results are stored in m_local_gradients.

This is used by compute_gradients() and can be overriden to implement layers with different activation functions

参数
targetsa matrix of size num_neurons*batch_size. If the layer is being used as an output layer, targets is the desired values for the layer's activations, otherwise it's an empty matrix

重载 CNeuralLinearLayer .

在文件 NeuralLogisticLayer.cpp 第 114 行定义.

CSGObject * deep_copy ( ) const
virtualinherited

A deep copy. All the instance variables will also be copied.

在文件 SGObject.cpp 第 198 行定义.

void dropout_activations ( )
virtualinherited

Applies dropout [Hinton, 2012] to the activations of the layer

If is_training is true, fills m_dropout_mask with random values (according to dropout_prop) and multiplies it into the activations, otherwise, multiplies the activations by (1-dropout_prop) to compensate for using dropout during training

在文件 NeuralLayer.cpp 第 90 行定义.

void enforce_max_norm ( SGVector< float64_t >  parameters,
float64_t  max_norm 
)
virtualinherited

Constrains the weights of each neuron in the layer to have an L2 norm of at most max_norm

参数
parameterspointer to the layer's parameters, array of size get_num_parameters()
max_normmaximum allowable norm for a neuron's weights

重载 CNeuralLayer .

在文件 NeuralLinearLayer.cpp 第 271 行定义.

bool equals ( CSGObject *  other,
float64_t  accuracy = 0.0,
bool  tolerant = false 
)
virtualinherited

Recursively compares the current SGObject to another one. Compares all registered numerical parameters, recursion upon complex (SGObject) parameters. Does not compare pointers!

May be overwritten but please do with care! Should not be necessary in most cases.

参数
otherobject to compare with
accuracyaccuracy to use for comparison (optional)
tolerantallows linient check on float equality (within accuracy)
返回
true if all parameters were equal, false if not

在文件 SGObject.cpp 第 618 行定义.

virtual SGMatrix<float64_t> get_activation_gradients ( )
virtualinherited

Gets the layer's activation gradients, a matrix of size num_neurons * batch_size

返回
layer's activation gradients

在文件 NeuralLayer.h 第 294 行定义.

virtual SGMatrix<float64_t> get_activations ( )
virtualinherited

Gets the layer's activations, a matrix of size num_neurons * batch_size

返回
layer's activations

在文件 NeuralLayer.h 第 287 行定义.

SGIO * get_global_io ( )
inherited

get the io object

返回
io object

在文件 SGObject.cpp 第 235 行定义.

Parallel * get_global_parallel ( )
inherited

get the parallel object

返回
parallel object

在文件 SGObject.cpp 第 277 行定义.

Version * get_global_version ( )
inherited

get the version object

返回
version object

在文件 SGObject.cpp 第 290 行定义.

virtual int32_t get_height ( )
virtualinherited

Returns the height assuming that the layer's activations are interpreted as images (i.e for convolutional nets)

返回
Height

在文件 NeuralLayer.h 第 265 行定义.

virtual SGVector<int32_t> get_input_indices ( )
virtualinherited

Gets the indices of the layers that are connected to this layer as input

返回
layer's input indices

在文件 NeuralLayer.h 第 313 行定义.

virtual SGMatrix<float64_t> get_local_gradients ( )
virtualinherited

Gets the layer's local gradients, a matrix of size num_neurons * batch_size

返回
layer's local gradients

在文件 NeuralLayer.h 第 304 行定义.

SGStringList< char > get_modelsel_names ( )
inherited
返回
vector of names of all parameters which are registered for model selection

在文件 SGObject.cpp 第 498 行定义.

char * get_modsel_param_descr ( const char *  param_name)
inherited

Returns description of a given parameter string, if it exists. SG_ERROR otherwise

参数
param_namename of the parameter
返回
description of the parameter

在文件 SGObject.cpp 第 522 行定义.

index_t get_modsel_param_index ( const char *  param_name)
inherited

Returns index of model selection parameter with provided index

参数
param_namename of model selection parameter
返回
index of model selection parameter with provided name, -1 if there is no such

在文件 SGObject.cpp 第 535 行定义.

virtual const char* get_name ( ) const
virtual

Returns the name of the SGSerializable instance. It MUST BE the CLASS NAME without the prefixed `C'.

返回
name of the SGSerializable

重载 CNeuralLinearLayer .

在文件 NeuralLogisticLayer.h 第 120 行定义.

virtual int32_t get_num_neurons ( )
virtualinherited

Gets the number of neurons in the layer

返回
number of neurons in the layer

在文件 NeuralLayer.h 第 251 行定义.

virtual int32_t get_num_parameters ( )
virtualinherited

Gets the number of parameters used in this layer

返回
number of parameters used in this layer

在文件 NeuralLayer.h 第 281 行定义.

virtual int32_t get_width ( )
virtualinherited

Returns the width assuming that the layer's activations are interpreted as images (i.e for convolutional nets)

返回
Width

在文件 NeuralLayer.h 第 258 行定义.

void initialize_neural_layer ( CDynamicObjectArray *  layers,
SGVector< int32_t >  input_indices 
)
virtualinherited

Initializes the layer, computes the number of parameters needed for the layer

参数
layersArray of layers that form the network that this layer is being used with
input_indicesIndices of the layers that are connected to this layer as input

重载 CNeuralLayer .

在文件 NeuralLinearLayer.cpp 第 53 行定义.

void initialize_parameters ( SGVector< float64_t >  parameters,
SGVector< bool >  parameter_regularizable,
float64_t  sigma 
)
virtualinherited

Initializes the layer's parameters. The layer should fill the given arrays with the initial value for its parameters

参数
parametersVector of size get_num_parameters()
parameter_regularizableVector of size get_num_parameters(). This controls which of the layer's parameter are subject to regularization, i.e to turn off regularization for parameter i, set parameter_regularizable[i] = false. This is usally used to turn off regularization for bias parameters.
sigmastandard deviation of the gaussian used to random the parameters

重载 CNeuralLayer .

在文件 NeuralLinearLayer.cpp 第 63 行定义.

bool is_generic ( EPrimitiveType *  generic) const
virtualinherited

If the SGSerializable is a class template then TRUE will be returned and GENERIC is set to the type of the generic.

参数
genericset to the type of the generic if returning TRUE
返回
TRUE if a class template.

在文件 SGObject.cpp 第 296 行定义.

virtual bool is_input ( )
virtualinherited

returns true if the layer is an input layer. Input layers are the root layers of a network, that is, they don't receive signals from other layers, they receive signals from the inputs features to the network.

Local and activation gradients are not computed for input layers

被 CNeuralInputLayer 重载.

在文件 NeuralLayer.h 第 127 行定义.

bool load_serializable ( CSerializableFile *  file,
const char *  prefix = "" 
)
virtualinherited

Load this object from file. If it will fail (returning FALSE) then this object will contain inconsistent data and should not be used!

参数
filewhere to load from
prefixprefix for members
返回
TRUE if done, otherwise FALSE

在文件 SGObject.cpp 第 369 行定义.

void load_serializable_post ( )
throw (ShogunException
)
protectedvirtualinherited

Can (optionally) be overridden to post-initialize some member variables which are not PARAMETER::ADD'ed. Make sure that at first the overridden method BASE_CLASS::LOAD_SERIALIZABLE_POST is called.

异常
ShogunExceptionwill be thrown if an error occurs.

被 CKernel, CWeightedDegreePositionStringKernel, CList, CAlphabet, CLinearHMM, CGaussianKernel, CInverseMultiQuadricKernel, CCircularKernel , 以及 CExponentialKernel 重载.

在文件 SGObject.cpp 第 426 行定义.

void load_serializable_pre ( )
throw (ShogunException
)
protectedvirtualinherited

Can (optionally) be overridden to pre-initialize some member variables which are not PARAMETER::ADD'ed. Make sure that at first the overridden method BASE_CLASS::LOAD_SERIALIZABLE_PRE is called.

异常
ShogunExceptionwill be thrown if an error occurs.

被 CDynamicArray< T >, CDynamicArray< float64_t >, CDynamicArray< float32_t >, CDynamicArray< int32_t >, CDynamicArray< char >, CDynamicArray< bool > , 以及 CDynamicObjectArray 重载.

在文件 SGObject.cpp 第 421 行定义.

bool parameter_hash_changed ( )
virtualinherited
返回
whether parameter combination has changed since last update

在文件 SGObject.cpp 第 262 行定义.

void print_modsel_params ( )
inherited

prints all parameter registered for model selection and their type

在文件 SGObject.cpp 第 474 行定义.

void print_serializable ( const char *  prefix = "")
virtualinherited

prints registered parameters out

参数
prefixprefix for members

在文件 SGObject.cpp 第 308 行定义.

bool save_serializable ( CSerializableFile *  file,
const char *  prefix = "" 
)
virtualinherited

Save this object to file.

参数
filewhere to save the object; will be closed during returning if PREFIX is an empty string.
prefixprefix for members
返回
TRUE if done, otherwise FALSE

在文件 SGObject.cpp 第 314 行定义.

void save_serializable_post ( )
throw (ShogunException
)
protectedvirtualinherited

Can (optionally) be overridden to post-initialize some member variables which are not PARAMETER::ADD'ed. Make sure that at first the overridden method BASE_CLASS::SAVE_SERIALIZABLE_POST is called.

异常
ShogunExceptionwill be thrown if an error occurs.

被 CKernel 重载.

在文件 SGObject.cpp 第 436 行定义.

void save_serializable_pre ( )
throw (ShogunException
)
protectedvirtualinherited

Can (optionally) be overridden to pre-initialize some member variables which are not PARAMETER::ADD'ed. Make sure that at first the overridden method BASE_CLASS::SAVE_SERIALIZABLE_PRE is called.

异常
ShogunExceptionwill be thrown if an error occurs.

被 CKernel, CDynamicArray< T >, CDynamicArray< float64_t >, CDynamicArray< float32_t >, CDynamicArray< int32_t >, CDynamicArray< char >, CDynamicArray< bool > , 以及 CDynamicObjectArray 重载.

在文件 SGObject.cpp 第 431 行定义.

void set_batch_size ( int32_t  batch_size)
virtualinherited

Sets the batch_size and allocates memory for m_activations and m_input_gradients accordingly. Must be called before forward or backward propagation is performed

参数
batch_sizenumber of training/test cases the network is currently working with

被 CNeuralConvolutionalLayer 重载.

在文件 NeuralLayer.cpp 第 75 行定义.

void set_generic ( )
inherited

在文件 SGObject.cpp 第 41 行定义.

void set_generic ( )
inherited

在文件 SGObject.cpp 第 46 行定义.

void set_generic ( )
inherited

在文件 SGObject.cpp 第 51 行定义.

void set_generic ( )
inherited

在文件 SGObject.cpp 第 56 行定义.

void set_generic ( )
inherited

在文件 SGObject.cpp 第 61 行定义.

void set_generic ( )
inherited

在文件 SGObject.cpp 第 66 行定义.

void set_generic ( )
inherited

在文件 SGObject.cpp 第 71 行定义.

void set_generic ( )
inherited

在文件 SGObject.cpp 第 76 行定义.

void set_generic ( )
inherited

在文件 SGObject.cpp 第 81 行定义.

void set_generic ( )
inherited

在文件 SGObject.cpp 第 86 行定义.

void set_generic ( )
inherited

在文件 SGObject.cpp 第 91 行定义.

void set_generic ( )
inherited

在文件 SGObject.cpp 第 96 行定义.

void set_generic ( )
inherited

在文件 SGObject.cpp 第 101 行定义.

void set_generic ( )
inherited

在文件 SGObject.cpp 第 106 行定义.

void set_generic ( )
inherited

在文件 SGObject.cpp 第 111 行定义.

void set_generic ( )
inherited

set generic type to T

void set_global_io ( SGIO *  io)
inherited

set the io object

参数
ioio object to use

在文件 SGObject.cpp 第 228 行定义.

void set_global_parallel ( Parallel *  parallel)
inherited

set the parallel object

参数
parallelparallel object to use

在文件 SGObject.cpp 第 241 行定义.

void set_global_version ( Version *  version)
inherited

set the version object

参数
versionversion object to use

在文件 SGObject.cpp 第 283 行定义.

virtual void set_num_neurons ( int32_t  num_neurons)
virtualinherited

Gets the number of neurons in the layer

参数
num_neuronsnumber of neurons in the layer

在文件 NeuralLayer.h 第 271 行定义.

CSGObject * shallow_copy ( ) const
virtualinherited

A shallow copy. All the SGObject instance variables will be simply assigned and SG_REF-ed.

被 CGaussianKernel 重载.

在文件 SGObject.cpp 第 192 行定义.

void unset_generic ( )
inherited

unset generic type

this has to be called in classes specializing a template class

在文件 SGObject.cpp 第 303 行定义.

void update_parameter_hash ( )
virtualinherited

Updates the hash of current parameter combination

在文件 SGObject.cpp 第 248 行定义.

类成员变量说明

ENLAutoencoderPosition autoencoder_position
inherited

For autoencoders, specifies the position of the layer in the autoencoder, i.e an encoding layer or a decoding layer. Default value is NLAP_NONE

在文件 NeuralLayer.h 第 343 行定义.

float64_t contraction_coefficient
inherited

For hidden layers in a contractive autoencoders [Rifai, 2011] a term:

\[ \frac{\lambda}{N} \sum_{k=0}^{N-1} \left \| J(x_k) \right \|^2_F \]

is added to the error, where \( \left \| J(x_k)) \right \|^2_F \) is the Frobenius norm of the Jacobian of the activations of the hidden layer with respect to its inputs, \( N \) is the batch size, and \( \lambda \) is the contraction coefficient.

Default value is 0.0.

在文件 NeuralLayer.h 第 338 行定义.

float64_t dropout_prop
inherited

probabilty of dropping out a neuron in the layer

在文件 NeuralLayer.h 第 327 行定义.

SGIO* io
inherited

io

在文件 SGObject.h 第 369 行定义.

bool is_training
inherited

Should be true if the layer is currently used during training initial value is false

在文件 NeuralLayer.h 第 324 行定义.

SGMatrix<float64_t> m_activation_gradients
protectedinherited

gradients of the error with respect to the layer's inputs size previous_layer_num_neurons * batch_size

在文件 NeuralLayer.h 第 381 行定义.

SGMatrix<float64_t> m_activations
protectedinherited

activations of the neurons in this layer size num_neurons * batch_size

在文件 NeuralLayer.h 第 376 行定义.

int32_t m_batch_size
protectedinherited

number of training/test cases the network is currently working with

在文件 NeuralLayer.h 第 371 行定义.

SGMatrix<bool> m_dropout_mask
protectedinherited

binary mask that determines whether a neuron will be kept or dropped out during the current iteration of training size num_neurons * batch_size

在文件 NeuralLayer.h 第 393 行定义.

Parameter* m_gradient_parameters
inherited

parameters wrt which we can compute gradients

在文件 SGObject.h 第 384 行定义.

uint32_t m_hash
inherited

Hash of parameter values

在文件 SGObject.h 第 387 行定义.

int32_t m_height
protectedinherited

Width of the image (if the layer's activations are to be interpreted as images. Default value is 1

在文件 NeuralLayer.h 第 357 行定义.

SGVector<int32_t> m_input_indices
protectedinherited

Indices of the layers that are connected to this layer as input

在文件 NeuralLayer.h 第 363 行定义.

SGVector<int32_t> m_input_sizes
protectedinherited

Number of neurons in the layers that are connected to this layer as input

在文件 NeuralLayer.h 第 368 行定义.

SGMatrix<float64_t> m_local_gradients
protectedinherited

gradients of the error with respect to the layer's pre-activations, this is usually used as a buffer when computing the input gradients size num_neurons * batch_size

在文件 NeuralLayer.h 第 387 行定义.

Parameter* m_model_selection_parameters
inherited

model selection parameters

在文件 SGObject.h 第 381 行定义.

int32_t m_num_neurons
protectedinherited

Number of neurons in this layer

在文件 NeuralLayer.h 第 347 行定义.

int32_t m_num_parameters
protectedinherited

Number of neurons in this layer

在文件 NeuralLayer.h 第 360 行定义.

Parameter* m_parameters
inherited

parameters

在文件 SGObject.h 第 378 行定义.

int32_t m_width
protectedinherited

Width of the image (if the layer's activations are to be interpreted as images. Default value is m_num_neurons

在文件 NeuralLayer.h 第 352 行定义.

Parallel* parallel
inherited

parallel

在文件 SGObject.h 第 372 行定义.

Version* version
inherited

version

在文件 SGObject.h 第 375 行定义.

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