keraflow.layers.convolution.Pooling2D Class Reference

Pooling layer for sub-sampling (input_depth, input_row, input_col) inputs. More...

Inheritance diagram for keraflow.layers.convolution.Pooling2D:

Public Member Functions
def	__init__
Public Member Functions inherited from keraflow.layers.convolution.PoolingBase
def	__init__

Detailed Description

Pooling layer for sub-sampling (input_depth, input_row, input_col) inputs.

• input_shape: 4D, (nb_samples, input_depth, input_row, input_col)
• output_shape: 4D, (nb_samples, input_depth, output_row, output_col)

Note

output_row and output_col are determined by pad and strides. For details, please see PoolingBase, ConvolutionBase.

Constructor & Destructor Documentation

def keraflow.layers.convolution.Pooling2D.__init__	(		self,
			mode,
			pool_size = (2, 2,
			strides = None,
			pad = 'valid',
			kwargs
	)

Parameters

mode	str. 'max' or 'avg' for max and average pooling respectively.
pool_size	tuple of int. Shape of the pooling window.
strides	tuple of int. Steps for sliding the pooling window.
pad	str, 'valid' of 'same'. See PoolingBase, ConvolutionBase.
kwargs	see Layer.__init__.