layer_maxout: Maxout layer

In tfaddons: Interface to 'TensorFlow SIG Addons'

Description

Maxout layer

Usage

layer_maxout(object, num_units, axis = -1, ...)

Arguments

object	Model or layer object
num_units	Specifies how many features will remain after maxout in the axis dimension (usually channel). This must be a factor of number of features.
axis	The dimension where max pooling will be performed. Default is the last dimension.
...	additional parameters to pass

Details

"Maxout Networks" Ian J. Goodfellow, David Warde-Farley, Mehdi Mirza, Aaron Courville, Yoshua Bengio. https://arxiv.org/abs/1302.4389 Usually the operation is performed in the filter/channel dimension. This can also be used after Dense layers to reduce number of features.

Value

A tensor

tfaddons documentation built on July 2, 2020, 2:12 a.m.