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DropoutLayer Class Reference

DroputLayer class. More...

#include <SimdNeural.hpp>

Inheritance diagram for DropoutLayer:
Layer

Public Member Functions

 DropoutLayer (size_t srcSize, float rate)
 Creates new DropoutLayer class. More...
 
- Public Member Functions inherited from Layer
virtual ~Layer ()
 

Additional Inherited Members

- Public Types inherited from Layer
enum  Type {
  Input ,
  Convolutional ,
  MaxPooling ,
  AveragePooling ,
  FullyConnected ,
  Dropout
}
 
enum  Method {
  Fast ,
  Check ,
  Train
}
 

Detailed Description

DroputLayer class.

Dropout layer in neural network.

Constructor & Destructor Documentation

◆ DropoutLayer()

DropoutLayer ( size_t  srcSize,
float  rate 
)

Creates new DropoutLayer class.

Parameters
[in]srcSize- a size of input vector.
[in]rate- a retention probability (dropout rate is 1 - rate).