FullyConnectedLayer Class Reference

FullyConnectedLayer class. More...

Inheritance diagram for FullyConnectedLayer:

Public Member Functions
	FullyConnectedLayer (Function::Type f, size_t srcSize, size_t dstSize, bool bias=true)
	Creates new FullyConnectedLayer 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

FullyConnectedLayer class.

Fully connected layer in neural network.

Constructor & Destructor Documentation

FullyConnectedLayer()

FullyConnectedLayer	(	Function::Type	f,
		size_t	srcSize,
		size_t	dstSize,
		bool	bias = true
	)

Creates new FullyConnectedLayer class.

Parameters

[in]	f	- a type of activation function used in this layer.
[in]	srcSize	- a size of input vector.
[in]	dstSize	- a size of output vector.
[in]	bias	- a boolean flag (enabling of bias). By default it is True.