PLearn 0.1
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Virtual class for the parameters between two layers of an RBM. More...
#include <RBMParameters.h>
Public Member Functions | |
RBMParameters (real the_learning_rate=0.) | |
Default constructor. | |
RBMParameters (string down_types, string up_types, real the_learning_rate=0.) | |
Constructor from two string prototypes. | |
virtual void | setAsUpInput (const Vec &input) const |
Sets input_vec to input, and going_up to false. | |
virtual void | setAsDownInput (const Vec &input) const |
Sets input_vec to input, and going_up to true. | |
virtual void | accumulatePosStats (const Vec &down_values, const Vec &up_values)=0 |
Accumulates positive phase statistics to *_pos_stats. | |
virtual void | accumulateNegStats (const Vec &down_values, const Vec &up_values)=0 |
Accumulates negative phase statistics to *_neg_stats. | |
virtual void | update ()=0 |
Updates parameters according to contrastive divergence gradient. | |
virtual void | update (const Vec &pos_down_values, const Vec &pos_up_values, const Vec &neg_down_values, const Vec &neg_up_values) |
Updates parameters according to contrastive divergence gradient, not using the statistics but the explicit values passed. | |
virtual void | clearStats ()=0 |
Clear all information accumulated during stats. | |
virtual void | computeUnitActivations (int start, int length, const Vec &activations) const =0 |
Computes the vectors of activation of "length" units, starting from "start", and concatenates them into "activations". | |
virtual void | fprop (const Vec &input, Vec &output) const |
given the input, compute the output (possibly resize it appropriately) | |
virtual int | nParameters (bool share_up_params, bool share_down_params) const =0 |
return the number of parameters | |
virtual Vec | makeParametersPointHere (const Vec &global_parameters, bool share_up_params, bool share_down_params)=0 |
Make the parameters data be sub-vectors of the given global_parameters. | |
virtual RBMParameters * | deepCopy (CopiesMap &copies) const |
virtual void | build () |
Post-constructor. | |
virtual void | makeDeepCopyFromShallowCopy (CopiesMap &copies) |
Transforms a shallow copy into a deep copy. | |
Static Public Member Functions | |
static string | _classname_ () |
static OptionList & | _getOptionList_ () |
static RemoteMethodMap & | _getRemoteMethodMap_ () |
static bool | _isa_ (const Object *o) |
static void | _static_initialize_ () |
static const PPath & | declaringFile () |
Public Attributes | |
string | up_units_types |
Each character of this string describes the type of an up unit: | |
string | down_units_types |
Same meaning as "up_units_types", but with down units. | |
real | learning_rate |
The learning rate, used both in update() and bpropUpdate() methods. | |
string | initialization_method |
The method used to initialize the weights: | |
int | up_layer_size |
Number of units on up layer. | |
int | down_layer_size |
Number of units on down layer. | |
Static Public Attributes | |
static StaticInitializer | _static_initializer_ |
Static Protected Member Functions | |
static void | declareOptions (OptionList &ol) |
Declares the class options. | |
Protected Attributes | |
Vec | input_vec |
Points to current input vector. | |
bool | going_up |
Tells if input_vec comes from down (true) or up (false) | |
int | pos_count |
Number of examples accumulated in *_pos_stats. | |
int | neg_count |
Number of examples accumulated in *_neg_stats. | |
Private Types | |
typedef OnlineLearningModule | inherited |
Private Member Functions | |
void | build_ () |
This does the actual building. |
Virtual class for the parameters between two layers of an RBM.
Definition at line 58 of file RBMParameters.h.
typedef OnlineLearningModule PLearn::RBMParameters::inherited [private] |
Reimplemented from PLearn::OnlineLearningModule.
Reimplemented in PLearn::RBMConv2DLLParameters, PLearn::RBMGenericParameters, PLearn::RBMJointGenericParameters, PLearn::RBMJointLLParameters, PLearn::RBMLLParameters, PLearn::RBMLQParameters, and PLearn::RBMQLParameters.
Definition at line 60 of file RBMParameters.h.
PLearn::RBMParameters::RBMParameters | ( | real | the_learning_rate = 0. | ) |
Default constructor.
Definition at line 54 of file RBMParameters.cc.
: learning_rate(the_learning_rate), going_up(true), pos_count(0), neg_count(0) { }
PLearn::RBMParameters::RBMParameters | ( | string | down_types, |
string | up_types, | ||
real | the_learning_rate = 0. |
||
) |
Constructor from two string prototypes.
Definition at line 62 of file RBMParameters.cc.
References build().
: up_units_types(up_types), down_units_types(down_types), learning_rate(the_learning_rate), going_up(true), pos_count(0), neg_count(0) { // We're not sure inherited::build() has been called build(); }
string PLearn::RBMParameters::_classname_ | ( | ) | [static] |
Reimplemented from PLearn::OnlineLearningModule.
Reimplemented in PLearn::RBMConv2DLLParameters, PLearn::RBMGenericParameters, PLearn::RBMJointGenericParameters, PLearn::RBMJointLLParameters, PLearn::RBMLLParameters, PLearn::RBMLQParameters, and PLearn::RBMQLParameters.
Definition at line 52 of file RBMParameters.cc.
OptionList & PLearn::RBMParameters::_getOptionList_ | ( | ) | [static] |
Reimplemented from PLearn::OnlineLearningModule.
Reimplemented in PLearn::RBMConv2DLLParameters, PLearn::RBMGenericParameters, PLearn::RBMJointGenericParameters, PLearn::RBMJointLLParameters, PLearn::RBMLLParameters, PLearn::RBMLQParameters, and PLearn::RBMQLParameters.
Definition at line 52 of file RBMParameters.cc.
RemoteMethodMap & PLearn::RBMParameters::_getRemoteMethodMap_ | ( | ) | [static] |
Reimplemented from PLearn::OnlineLearningModule.
Reimplemented in PLearn::RBMConv2DLLParameters, PLearn::RBMGenericParameters, PLearn::RBMJointGenericParameters, PLearn::RBMJointLLParameters, PLearn::RBMLLParameters, PLearn::RBMLQParameters, and PLearn::RBMQLParameters.
Definition at line 52 of file RBMParameters.cc.
Reimplemented from PLearn::OnlineLearningModule.
Reimplemented in PLearn::RBMConv2DLLParameters, PLearn::RBMGenericParameters, PLearn::RBMJointGenericParameters, PLearn::RBMJointLLParameters, PLearn::RBMLLParameters, PLearn::RBMLQParameters, and PLearn::RBMQLParameters.
Definition at line 52 of file RBMParameters.cc.
StaticInitializer RBMParameters::_static_initializer_ & PLearn::RBMParameters::_static_initialize_ | ( | ) | [static] |
Reimplemented from PLearn::OnlineLearningModule.
Reimplemented in PLearn::RBMConv2DLLParameters, PLearn::RBMGenericParameters, PLearn::RBMJointGenericParameters, PLearn::RBMJointLLParameters, PLearn::RBMLLParameters, PLearn::RBMLQParameters, and PLearn::RBMQLParameters.
Definition at line 52 of file RBMParameters.cc.
virtual void PLearn::RBMParameters::accumulateNegStats | ( | const Vec & | down_values, |
const Vec & | up_values | ||
) | [pure virtual] |
Accumulates negative phase statistics to *_neg_stats.
Implemented in PLearn::RBMConv2DLLParameters, PLearn::RBMGenericParameters, PLearn::RBMLLParameters, PLearn::RBMLQParameters, and PLearn::RBMQLParameters.
Referenced by update().
virtual void PLearn::RBMParameters::accumulatePosStats | ( | const Vec & | down_values, |
const Vec & | up_values | ||
) | [pure virtual] |
Accumulates positive phase statistics to *_pos_stats.
Implemented in PLearn::RBMConv2DLLParameters, PLearn::RBMGenericParameters, PLearn::RBMLLParameters, PLearn::RBMLQParameters, and PLearn::RBMQLParameters.
Referenced by update().
void PLearn::RBMParameters::build | ( | ) | [virtual] |
Post-constructor.
The normal implementation should call simply inherited::build(), then this class's build_(). This method should be callable again at later times, after modifying some option fields to change the "architecture" of the object.
Reimplemented from PLearn::OnlineLearningModule.
Reimplemented in PLearn::RBMConv2DLLParameters, PLearn::RBMGenericParameters, PLearn::RBMJointGenericParameters, PLearn::RBMJointLLParameters, PLearn::RBMLLParameters, PLearn::RBMLQParameters, and PLearn::RBMQLParameters.
Definition at line 138 of file RBMParameters.cc.
References PLearn::OnlineLearningModule::build(), and build_().
Referenced by PLearn::RBMQLParameters::build(), PLearn::RBMLQParameters::build(), PLearn::RBMLLParameters::build(), PLearn::RBMGenericParameters::build(), PLearn::RBMConv2DLLParameters::build(), and RBMParameters().
{ inherited::build(); build_(); }
void PLearn::RBMParameters::build_ | ( | ) | [private] |
This does the actual building.
Reimplemented from PLearn::OnlineLearningModule.
Reimplemented in PLearn::RBMConv2DLLParameters, PLearn::RBMGenericParameters, PLearn::RBMJointGenericParameters, PLearn::RBMJointLLParameters, PLearn::RBMLLParameters, PLearn::RBMLQParameters, and PLearn::RBMQLParameters.
Definition at line 116 of file RBMParameters.cc.
References down_layer_size, down_units_types, initialization_method, PLearn::OnlineLearningModule::input_size, PLearn::lowerstring(), PLearn::OnlineLearningModule::output_size, PLERROR, up_layer_size, and up_units_types.
Referenced by build().
{ up_layer_size = int(up_units_types.size()); down_layer_size = int(down_units_types.size()); if( up_layer_size == 0 || down_layer_size == 0 ) return; string im = lowerstring( initialization_method ); if( im == "" || im == "uniform_sqrt" ) initialization_method = "uniform_sqrt"; else if( im == "uniform_linear" ) initialization_method = im; else if( im == "zero" ) initialization_method = im; else PLERROR( "RBMParameters::build_ - initialization_method\n" "\"%s\" unknown.\n", initialization_method.c_str() ); input_size = down_layer_size; output_size = up_layer_size; }
virtual void PLearn::RBMParameters::clearStats | ( | ) | [pure virtual] |
Clear all information accumulated during stats.
Implemented in PLearn::RBMConv2DLLParameters, PLearn::RBMGenericParameters, PLearn::RBMLLParameters, PLearn::RBMLQParameters, and PLearn::RBMQLParameters.
virtual void PLearn::RBMParameters::computeUnitActivations | ( | int | start, |
int | length, | ||
const Vec & | activations | ||
) | const [pure virtual] |
Computes the vectors of activation of "length" units, starting from "start", and concatenates them into "activations".
"start" indexes an up unit if "going_up", else a down unit.
Implemented in PLearn::RBMConv2DLLParameters, PLearn::RBMGenericParameters, PLearn::RBMJointGenericParameters, PLearn::RBMJointLLParameters, PLearn::RBMLLParameters, PLearn::RBMLQParameters, and PLearn::RBMQLParameters.
Referenced by fprop().
void PLearn::RBMParameters::declareOptions | ( | OptionList & | ol | ) | [static, protected] |
Declares the class options.
Reimplemented from PLearn::OnlineLearningModule.
Reimplemented in PLearn::RBMConv2DLLParameters, PLearn::RBMGenericParameters, PLearn::RBMJointGenericParameters, PLearn::RBMJointLLParameters, PLearn::RBMLLParameters, PLearn::RBMLQParameters, and PLearn::RBMQLParameters.
Definition at line 75 of file RBMParameters.cc.
References PLearn::OptionBase::buildoption, PLearn::declareOption(), PLearn::OnlineLearningModule::declareOptions(), down_units_types, initialization_method, learning_rate, and up_units_types.
Referenced by PLearn::RBMQLParameters::declareOptions(), PLearn::RBMLQParameters::declareOptions(), PLearn::RBMLLParameters::declareOptions(), PLearn::RBMGenericParameters::declareOptions(), and PLearn::RBMConv2DLLParameters::declareOptions().
{ // ### Declare all of this object's options here. // ### For the "flags" of each option, you should typically specify // ### one of OptionBase::buildoption, OptionBase::learntoption or // ### OptionBase::tuningoption. If you don't provide one of these three, // ### this option will be ignored when loading values from a script. // ### You can also combine flags, for example with OptionBase::nosave: // ### (OptionBase::buildoption | OptionBase::nosave) declareOption(ol, "up_units_types", &RBMParameters::up_units_types, OptionBase::buildoption, "Each character of this string describes the type of an" " up unit:\n" " - 'l' if the energy function of this unit is linear\n" " (binomial or multinomial unit),\n" " - 'q' if it is quadratic (for a gaussian unit).\n"); declareOption(ol, "down_units_types", &RBMParameters::down_units_types, OptionBase::buildoption, "Same meaning as 'up_units_types', but with down units"); declareOption(ol, "learning_rate", &RBMParameters::learning_rate, OptionBase::buildoption, "The learning rate, used both in update() and bpropUpdate() " "methods\n"); declareOption(ol, "initialization_method", &RBMParameters::initialization_method, OptionBase::buildoption, "The method used to initialize the weights:\n" " - \"uniform_linear\" = a uniform law in [-1/d, 1/d]\n" " - \"uniform_sqrt\" = a uniform law in [-1/sqrt(d)," " 1/sqrt(d)]\n" " - \"zero\" = all weights are set to 0,\n" "where d = max( up_layer_size, down_layer_size ).\n"); // Now call the parent class' declareOptions inherited::declareOptions(ol); }
static const PPath& PLearn::RBMParameters::declaringFile | ( | ) | [inline, static] |
Reimplemented from PLearn::OnlineLearningModule.
Reimplemented in PLearn::RBMConv2DLLParameters, PLearn::RBMGenericParameters, PLearn::RBMJointGenericParameters, PLearn::RBMJointLLParameters, PLearn::RBMLLParameters, PLearn::RBMLQParameters, and PLearn::RBMQLParameters.
Definition at line 155 of file RBMParameters.h.
:
//##### Not Options #####################################################
RBMParameters * PLearn::RBMParameters::deepCopy | ( | CopiesMap & | copies | ) | const [virtual] |
Reimplemented from PLearn::OnlineLearningModule.
Reimplemented in PLearn::RBMConv2DLLParameters, PLearn::RBMGenericParameters, PLearn::RBMJointGenericParameters, PLearn::RBMJointLLParameters, PLearn::RBMLLParameters, PLearn::RBMLQParameters, and PLearn::RBMQLParameters.
Definition at line 52 of file RBMParameters.cc.
given the input, compute the output (possibly resize it appropriately)
Reimplemented from PLearn::OnlineLearningModule.
Reimplemented in PLearn::RBMJointGenericParameters, and PLearn::RBMJointLLParameters.
Definition at line 182 of file RBMParameters.cc.
References computeUnitActivations(), PLearn::OnlineLearningModule::output_size, PLearn::TVec< T >::resize(), and setAsDownInput().
{ // propagates the activations. setAsDownInput( input ); output.resize( output_size ); computeUnitActivations( 0, output_size, output ); }
void PLearn::RBMParameters::makeDeepCopyFromShallowCopy | ( | CopiesMap & | copies | ) | [virtual] |
Transforms a shallow copy into a deep copy.
Reimplemented from PLearn::OnlineLearningModule.
Reimplemented in PLearn::RBMConv2DLLParameters, PLearn::RBMGenericParameters, PLearn::RBMJointGenericParameters, PLearn::RBMJointLLParameters, PLearn::RBMLLParameters, PLearn::RBMLQParameters, and PLearn::RBMQLParameters.
Definition at line 145 of file RBMParameters.cc.
References PLearn::deepCopyField(), input_vec, and PLearn::OnlineLearningModule::makeDeepCopyFromShallowCopy().
Referenced by PLearn::RBMQLParameters::makeDeepCopyFromShallowCopy(), PLearn::RBMLQParameters::makeDeepCopyFromShallowCopy(), PLearn::RBMLLParameters::makeDeepCopyFromShallowCopy(), PLearn::RBMGenericParameters::makeDeepCopyFromShallowCopy(), and PLearn::RBMConv2DLLParameters::makeDeepCopyFromShallowCopy().
{ inherited::makeDeepCopyFromShallowCopy(copies); // ### Call deepCopyField on all "pointer-like" fields // ### that you wish to be deepCopied rather than // ### shallow-copied. deepCopyField(input_vec, copies); }
virtual Vec PLearn::RBMParameters::makeParametersPointHere | ( | const Vec & | global_parameters, |
bool | share_up_params, | ||
bool | share_down_params | ||
) | [pure virtual] |
Make the parameters data be sub-vectors of the given global_parameters.
The argument should have size >= nParameters. The result is a Vec that starts just after this object's parameters end, i.e. result = global_parameters.subVec(nParameters(),global_parameters.size()-nParameters()); This allows to easily chain calls of this method on multiple RBMParameters.
Implemented in PLearn::RBMConv2DLLParameters, PLearn::RBMGenericParameters, PLearn::RBMLLParameters, PLearn::RBMLQParameters, and PLearn::RBMQLParameters.
virtual int PLearn::RBMParameters::nParameters | ( | bool | share_up_params, |
bool | share_down_params | ||
) | const [pure virtual] |
return the number of parameters
Implemented in PLearn::RBMConv2DLLParameters, PLearn::RBMGenericParameters, PLearn::RBMLLParameters, PLearn::RBMLQParameters, and PLearn::RBMQLParameters.
void PLearn::RBMParameters::setAsDownInput | ( | const Vec & | input | ) | const [virtual] |
Sets input_vec to input, and going_up to true.
Reimplemented in PLearn::RBMJointGenericParameters, and PLearn::RBMJointLLParameters.
Definition at line 163 of file RBMParameters.cc.
References down_layer_size, going_up, input_vec, PLASSERT, and PLearn::TVec< T >::size().
Referenced by fprop(), PLearn::GaussianDBNClassification::greedyStep(), PLearn::GaussianDBNRegression::greedyStep(), PLearn::GaussianDBNClassification::jointGreedyStep(), PLearn::RBMJointGenericParameters::setAsDownInput(), PLearn::RBMJointLLParameters::setAsDownInput(), and PLearn::UnfrozenDeepBeliefNet::train().
{ PLASSERT( input.size() == down_layer_size ); input_vec = input; going_up = true; }
void PLearn::RBMParameters::setAsUpInput | ( | const Vec & | input | ) | const [virtual] |
Sets input_vec to input, and going_up to false.
Reimplemented in PLearn::RBMJointGenericParameters, and PLearn::RBMJointLLParameters.
Definition at line 156 of file RBMParameters.cc.
References going_up, input_vec, PLASSERT, PLearn::TVec< T >::size(), and up_layer_size.
Referenced by PLearn::GaussianDBNClassification::greedyStep(), PLearn::GaussianDBNRegression::greedyStep(), PLearn::GaussianDBNClassification::jointGreedyStep(), PLearn::RBMJointGenericParameters::setAsUpInput(), PLearn::RBMJointLLParameters::setAsUpInput(), and PLearn::UnfrozenDeepBeliefNet::train().
{ PLASSERT( input.size() == up_layer_size ); input_vec = input; going_up = false; }
virtual void PLearn::RBMParameters::update | ( | ) | [pure virtual] |
Updates parameters according to contrastive divergence gradient.
Implemented in PLearn::RBMConv2DLLParameters, PLearn::RBMGenericParameters, PLearn::RBMLLParameters, PLearn::RBMLQParameters, and PLearn::RBMQLParameters.
Referenced by update().
void PLearn::RBMParameters::update | ( | const Vec & | pos_down_values, |
const Vec & | pos_up_values, | ||
const Vec & | neg_down_values, | ||
const Vec & | neg_up_values | ||
) | [virtual] |
Updates parameters according to contrastive divergence gradient, not using the statistics but the explicit values passed.
Reimplemented in PLearn::RBMConv2DLLParameters, and PLearn::RBMLLParameters.
Definition at line 170 of file RBMParameters.cc.
References accumulateNegStats(), accumulatePosStats(), and update().
{ // Not-so-efficient implementation accumulatePosStats( pos_down_values, pos_up_values ); accumulateNegStats( neg_down_values, neg_up_values ); update(); }
Reimplemented from PLearn::OnlineLearningModule.
Reimplemented in PLearn::RBMConv2DLLParameters, PLearn::RBMGenericParameters, PLearn::RBMJointGenericParameters, PLearn::RBMJointLLParameters, PLearn::RBMLLParameters, PLearn::RBMLQParameters, and PLearn::RBMQLParameters.
Definition at line 155 of file RBMParameters.h.
Number of units on down layer.
Definition at line 90 of file RBMParameters.h.
Referenced by PLearn::RBMQLParameters::accumulateNegStats(), PLearn::RBMGenericParameters::accumulateNegStats(), PLearn::RBMQLParameters::accumulatePosStats(), PLearn::RBMGenericParameters::accumulatePosStats(), PLearn::RBMLLParameters::bpropUpdate(), PLearn::RBMConv2DLLParameters::bpropUpdate(), PLearn::RBMQLParameters::bpropUpdate(), PLearn::RBMLQParameters::bpropUpdate(), PLearn::RBMLQParameters::build_(), build_(), PLearn::RBMGenericParameters::build_(), PLearn::RBMLLParameters::build_(), PLearn::RBMQLParameters::build_(), PLearn::RBMConv2DLLParameters::build_(), PLearn::RBMGenericParameters::clearStats(), PLearn::RBMQLParameters::forget(), PLearn::RBMLLParameters::forget(), PLearn::RBMLQParameters::forget(), PLearn::RBMGenericParameters::forget(), PLearn::RBMConv2DLLParameters::forget(), setAsDownInput(), PLearn::RBMGenericParameters::update(), PLearn::RBMConv2DLLParameters::update(), PLearn::RBMQLParameters::update(), and PLearn::RBMLQParameters::update().
Same meaning as "up_units_types", but with down units.
Definition at line 72 of file RBMParameters.h.
Referenced by PLearn::RBMGenericParameters::accumulateNegStats(), PLearn::RBMGenericParameters::accumulatePosStats(), PLearn::RBMLQParameters::build_(), build_(), PLearn::RBMGenericParameters::build_(), PLearn::RBMLLParameters::build_(), PLearn::RBMQLParameters::build_(), PLearn::RBMConv2DLLParameters::build_(), PLearn::RBMJointGenericParameters::build_units_types(), PLearn::RBMJointLLParameters::build_units_types(), and declareOptions().
bool PLearn::RBMParameters::going_up [mutable, protected] |
Tells if input_vec comes from down (true) or up (false)
Definition at line 170 of file RBMParameters.h.
Referenced by PLearn::RBMJointLLParameters::setAsCondInput(), PLearn::RBMJointGenericParameters::setAsCondInput(), setAsDownInput(), and setAsUpInput().
The method used to initialize the weights:
Definition at line 82 of file RBMParameters.h.
Referenced by build_(), declareOptions(), PLearn::RBMQLParameters::forget(), PLearn::RBMLLParameters::forget(), PLearn::RBMLQParameters::forget(), PLearn::RBMGenericParameters::forget(), and PLearn::RBMConv2DLLParameters::forget().
Vec PLearn::RBMParameters::input_vec [mutable, protected] |
Points to current input vector.
Definition at line 167 of file RBMParameters.h.
Referenced by makeDeepCopyFromShallowCopy(), PLearn::RBMJointLLParameters::setAsCondInput(), PLearn::RBMJointGenericParameters::setAsCondInput(), setAsDownInput(), and setAsUpInput().
The learning rate, used both in update() and bpropUpdate() methods.
Definition at line 75 of file RBMParameters.h.
Referenced by PLearn::RBMConv2DLLParameters::bpropUpdate(), PLearn::RBMLLParameters::bpropUpdate(), PLearn::RBMQLParameters::bpropUpdate(), PLearn::RBMJointLLParameters::bpropUpdate(), PLearn::RBMLQParameters::bpropUpdate(), declareOptions(), PLearn::GaussPartSupervisedDBN::jointGreedyStep(), PLearn::PartSupervisedDBN::jointGreedyStep(), PLearn::RBMGenericParameters::update(), PLearn::RBMConv2DLLParameters::update(), PLearn::RBMQLParameters::update(), PLearn::RBMLLParameters::update(), and PLearn::RBMLQParameters::update().
int PLearn::RBMParameters::neg_count [protected] |
Number of examples accumulated in *_neg_stats.
Definition at line 175 of file RBMParameters.h.
Referenced by PLearn::RBMLLParameters::accumulateNegStats(), PLearn::RBMQLParameters::accumulateNegStats(), PLearn::RBMLQParameters::accumulateNegStats(), PLearn::RBMGenericParameters::accumulateNegStats(), PLearn::RBMConv2DLLParameters::accumulateNegStats(), PLearn::RBMQLParameters::clearStats(), PLearn::RBMConv2DLLParameters::clearStats(), PLearn::RBMLLParameters::clearStats(), PLearn::RBMGenericParameters::clearStats(), PLearn::RBMLQParameters::clearStats(), PLearn::RBMGenericParameters::update(), PLearn::RBMConv2DLLParameters::update(), PLearn::RBMQLParameters::update(), PLearn::RBMLLParameters::update(), and PLearn::RBMLQParameters::update().
int PLearn::RBMParameters::pos_count [protected] |
Number of examples accumulated in *_pos_stats.
Definition at line 173 of file RBMParameters.h.
Referenced by PLearn::RBMLQParameters::accumulatePosStats(), PLearn::RBMLLParameters::accumulatePosStats(), PLearn::RBMQLParameters::accumulatePosStats(), PLearn::RBMGenericParameters::accumulatePosStats(), PLearn::RBMConv2DLLParameters::accumulatePosStats(), PLearn::RBMQLParameters::clearStats(), PLearn::RBMConv2DLLParameters::clearStats(), PLearn::RBMLLParameters::clearStats(), PLearn::RBMGenericParameters::clearStats(), PLearn::RBMLQParameters::clearStats(), PLearn::RBMGenericParameters::update(), PLearn::RBMConv2DLLParameters::update(), PLearn::RBMQLParameters::update(), PLearn::RBMLLParameters::update(), and PLearn::RBMLQParameters::update().
Number of units on up layer.
Definition at line 87 of file RBMParameters.h.
Referenced by PLearn::RBMLQParameters::accumulateNegStats(), PLearn::RBMGenericParameters::accumulateNegStats(), PLearn::RBMLQParameters::accumulatePosStats(), PLearn::RBMGenericParameters::accumulatePosStats(), PLearn::RBMLLParameters::bpropUpdate(), PLearn::RBMConv2DLLParameters::bpropUpdate(), PLearn::RBMQLParameters::bpropUpdate(), PLearn::RBMJointLLParameters::bpropUpdate(), PLearn::RBMLQParameters::bpropUpdate(), PLearn::RBMLQParameters::build_(), build_(), PLearn::RBMGenericParameters::build_(), PLearn::RBMLLParameters::build_(), PLearn::RBMQLParameters::build_(), PLearn::RBMConv2DLLParameters::build_(), PLearn::RBMGenericParameters::clearStats(), PLearn::RBMQLParameters::forget(), PLearn::RBMLLParameters::forget(), PLearn::RBMLQParameters::forget(), PLearn::RBMGenericParameters::forget(), PLearn::RBMConv2DLLParameters::forget(), setAsUpInput(), PLearn::RBMGenericParameters::update(), PLearn::RBMConv2DLLParameters::update(), PLearn::RBMQLParameters::update(), and PLearn::RBMLQParameters::update().
Each character of this string describes the type of an up unit:
Definition at line 69 of file RBMParameters.h.
Referenced by PLearn::RBMGenericParameters::accumulateNegStats(), PLearn::RBMGenericParameters::accumulatePosStats(), PLearn::RBMLQParameters::build_(), build_(), PLearn::RBMGenericParameters::build_(), PLearn::RBMLLParameters::build_(), PLearn::RBMQLParameters::build_(), PLearn::RBMConv2DLLParameters::build_(), PLearn::RBMJointGenericParameters::build_units_types(), PLearn::RBMJointLLParameters::build_units_types(), and declareOptions().