tiny_dnn  1.0.0
A header only, dependency-free deep learning framework in C++11
Public Member Functions | List of all members
tiny_dnn::optimizer Struct Referenceabstract

base class of optimizer usesHessian : true if an optimizer uses hessian (2nd order derivative of loss function) More...

#include <optimizer.h>

Inheritance diagram for tiny_dnn::optimizer:
Inheritance graph
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Public Member Functions

 optimizer (const optimizer &)=default
 
 optimizer (optimizer &&)=default
 
optimizeroperator= (const optimizer &)=default
 
optimizeroperator= (optimizer &&)=default
 
virtual void update (const vec_t &dW, vec_t &W, bool parallelize)=0
 
virtual void reset ()
 

Detailed Description

base class of optimizer usesHessian : true if an optimizer uses hessian (2nd order derivative of loss function)


The documentation for this struct was generated from the following file: