AveragePooling: Average pooling operation

In kerasR: R Interface to the Keras Deep Learning Library

Average pooling operation

Description

Average pooling operation

Usage

AveragePooling1D(pool_size = 2, strides = NULL, padding = "valid",
  input_shape = NULL)

AveragePooling2D(pool_size = c(2, 2), strides = NULL, padding = "valid",
  data_format = NULL, input_shape = NULL)

AveragePooling3D(pool_size = c(2, 2, 2), strides = NULL,
  padding = "valid", data_format = NULL, input_shape = NULL)

Arguments

pool_size	Integer or pair of integers; size(s) of the max pooling windows.
strides	Integer, pair of integers, or None. Factor(s) by which to downscale. E.g. 2 will halve the input. If NULL, it will default to pool_size.
padding	One of "valid" or "same" (case-insensitive).
input_shape	nD tensor with shape: (batch_size, ..., input_dim). The most common situation would be a 2D input with shape (batch_size, input_dim).
data_format	A string, one of channels_last (default) or channels_first

Author(s)

Taylor B. Arnold, [e-mail]

References

Chollet, Francois. 2015. Keras: Deep Learning library for Theano and TensorFlow.

kerasR documentation built on Aug. 17, 2022, 5:06 p.m.