Implementation of the negative log likelihood layer. More...
Public Member Functions  
NegativeLogLikelihoodType (const bool reduction=true)  
Create the NegativeLogLikelihoodTypeLayer object. More...  
void  Backward (const MatType &prediction, const MatType &target, MatType &loss) 
Ordinary feed backward pass of a neural network. More...  
double  Forward (const MatType &prediction, const MatType &target) 
Computes the Negative log likelihood. More...  
bool  Reduction () const 
Get the reduction type, represented as boolean (false 'mean' reduction, true 'sum' reduction). More...  
bool &  Reduction () 
Modify the type of reduction used. More...  
template < typename Archive >  
void  serialize (Archive &, const uint32_t) 
Serialize the layer. More...  
Implementation of the negative log likelihood layer.
The negative log likelihood layer expects that the input contains logprobabilities for each class. The layer also expects a class index in the range [0, numClasses  1] number of classes, as target when calling the Forward function.
MatType  Matrix representation to accept as input and use for computation. 
Definition at line 30 of file negative_log_likelihood.hpp.
NegativeLogLikelihoodType  (  const bool  reduction = true  ) 
Create the NegativeLogLikelihoodTypeLayer object.
reduction  Specifies the reduction to apply to the output. If false, 'mean' reduction is used, where sum of the output will be divided by the number of elements in the output. If true, 'sum' reduction is used and the output will be summed. It is set to true by default. 
void Backward  (  const MatType &  prediction, 
const MatType &  target,  
MatType &  loss  
) 
Ordinary feed backward pass of a neural network.
The negative log likelihood layer expects that the input contains logprobabilities for each class. The layer also expects a class index, in the range between 1 and the number of classes, as target when calling the Forward function.
prediction  Predictions used for evaluating the specified loss function. 
target  The target vector, that contains the class index in the range between 1 and the number of classes. 
loss  The calculated error. 
double Forward  (  const MatType &  prediction, 
const MatType &  target  
) 
Computes the Negative log likelihood.
iprediction  Predictions used for evaluating the specified loss function. 
target  The target vector, that contains the class index in the range between 1 and the number of classes. 

inline 
Get the reduction type, represented as boolean (false 'mean' reduction, true 'sum' reduction).
Definition at line 73 of file negative_log_likelihood.hpp.

inline 
Modify the type of reduction used.
Definition at line 75 of file negative_log_likelihood.hpp.
References NegativeLogLikelihoodType< MatType >::serialize().
void serialize  (  Archive &  , 
const uint32_t  
) 
Serialize the layer.
Referenced by NegativeLogLikelihoodType< MatType >::Reduction().