MaxPoolingLayer Class Reference

MaxPoolingLayer class. More...

Inheritance diagram for MaxPoolingLayer:

Public Member Functions
	MaxPoolingLayer (Function::Type f, const Size &srcSize, size_t srcDepth, const Size &poolingSize, const Size &poolingStride, const Size &poolingPad=Size())
	Creates new MaxPoolingLayer 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

MaxPoolingLayer class.

Max pooling layer in neural network.

Constructor & Destructor Documentation

MaxPoolingLayer()

MaxPoolingLayer	(	Function::Type	f,
		const Size &	srcSize,
		size_t	srcDepth,
		const Size &	poolingSize,
		const Size &	poolingStride,
		const Size &	poolingPad = Size()
	)

Creates new MaxPoolingLayer class.

Parameters

[in]	f	- a type of activation function used in this layer.
[in]	srcSize	- a size (width and height) of input image.
[in]	srcDepth	- a number of input channels (images).
[in]	poolingSize	- a pooling size.
[in]	poolingStride	- a pooling stride.
[in]	poolingPad	- a pooling pad. By default it is equal to (0, 0).