tf.contrib.layers.maxout

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

Defined in tensorflow/contrib/layers/python/layers/layers.py.

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

"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 multiple of number of axis.
• 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.