|
tiny_dnn 1.0.0
A header only, dependency-free deep learning framework in C++11
|
base class of optimizer usesHessian : true if an optimizer uses hessian (2nd order derivative of loss function) More...
#include <optimizer.h>

Public Member Functions | |
| optimizer (const optimizer &)=default | |
| optimizer (optimizer &&)=default | |
| optimizer & | operator= (const optimizer &)=default |
| optimizer & | operator= (optimizer &&)=default |
| virtual void | update (const vec_t &dW, vec_t &W, bool parallelize)=0 |
| virtual void | reset () |
base class of optimizer usesHessian : true if an optimizer uses hessian (2nd order derivative of loss function)