libeblearn
Public Member Functions | Public Attributes
ebl::full_layer< T, Tstate > Class Template Reference

#include <ebl_layers.h>

Inheritance diagram for ebl::full_layer< T, Tstate >:
ebl::module_1_1< T, Tstate > ebl::module

List of all members.

Public Member Functions

 full_layer (parameter< T, Tstate > *p, intg indim0, intg noutputs, bool tanh=true, const char *name="full_layer")
virtual ~full_layer ()
 Destructor.
void fprop (Tstate &in, Tstate &out)
 fprop from in to out
void bprop (Tstate &in, Tstate &out)
 bprop
void bbprop (Tstate &in, Tstate &out)
 bbprop
void forget (forget_param_linear &fp)
 initialize the weights to random values
virtual fidxdim fprop_size (fidxdim &i_size)
virtual idxdim bprop_size (const idxdim &o_size)
virtual full_layer< T, Tstate > * copy ()
 Returns a deep copy of this module.
virtual std::string describe ()
 Returns a string describing this module and its parameters.

Public Attributes

linear_module< T, Tstate > linear
 linear module for weight
addc_module< T, Tstate > adder
 bias vector
module_1_1< T, Tstate > * sigmoid
 the non-linear function
Tstate * sum
 weighted sum

Detailed Description

template<typename T, class Tstate = bbstate_idx<T>>
class ebl::full_layer< T, Tstate >

a simple fully-connected neural net layer: linear + tanh non-linearity.

Constructor & Destructor Documentation

template<typename T , class Tstate >
ebl::full_layer< T, Tstate >::full_layer ( parameter< T, Tstate > *  p,
intg  indim0,
intg  noutputs,
bool  tanh = true,
const char *  name = "full_layer< T, Tstate >" 
)

Constructor. Arguments are a pointer to a parameter in which the trainable weights will be appended, the number of inputs, and the number of outputs.

Parameters:
indim0The number of inputs
noutputsThe number of outputs.
tanhIf true, use tanh squasher, stdsigmoid otherwise.

Member Function Documentation

template<typename T , class Tstate >
idxdim ebl::full_layer< T, Tstate >::bprop_size ( const idxdim &  o_size) [virtual]

Return dimensions compatible with this module given output dimensions. See module_1_1_gen's documentation for more details.

template<typename T , class Tstate >
fidxdim ebl::full_layer< T, Tstate >::fprop_size ( fidxdim &  i_size) [virtual]

Return dimensions that are compatible with this module. See module_1_1_gen's documentation for more details.

Reimplemented from ebl::module_1_1< T, Tstate >.

The documentation for this class was generated from the following files: