GlobalPooling

GlobalMaxPooling1D

GlobalAveragePooling1D

GlobalMaxPooling2D

GlobalAveragePooling2D

<p>nD tensor with shape: `(batch_size, ..., input_dim)`.
The most common situation would be a 2D input with shape
`(batch_size, input_dim)`.</p>

input_shape

<p>A string, one of channels_last (default) or channels_first</p>

data_format

Provides a consistent interface to the 'Keras' Deep Learning Library
directly from within R. 'Keras' (see <https://keras.io/> for more information)
provides specifications for describing dense neural networks, convolution
neural networks (CNN) and recurrent neural networks (RNN) running on top
of either 'TensorFlow' (<https://www.tensorflow.org/>)  or 'Theano'
(<http://deeplearning.net/software/theano/>). Type conversions between
Python and R are automatically handled correctly, even when the default
choices would otherwise lead to errors. Includes complete R documentation
and many working examples.

GlobalPooling: Global pooling operations

Description

Usage

Arguments

References