tf.contrib.layers.maxout

Adds a maxout op from https://arxiv.org/abs/1302.4389

tf.contrib.layers.maxout(
    inputs, num_units, axis=-1, scope=None
)

"Maxout Networks" Ian J. Goodfellow, David Warde-Farley, Mehdi Mirza, Aaron Courville, Yoshua Bengio

Usually the operation is performed in the filter/channel dimension. This can also be used after fully-connected layers to reduce number of features.

Arguments
inputs	Tensor input
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.
scope	Optional scope for variable_scope.

Returns
A Tensor representing the results of the pooling operation.

Raises
ValueError	if num_units is not multiple of number of features.