Addons - Layers

Maintainers

Submodule	Maintainers	Contact Info
maxout	SIG-Addons	addons@tensorflow.org
normalizations	SIG-Addons	addons@tensorflow.org
poincare	SIG-Addons	addons@tensorflow.org
sparsemax	SIG-Addons	addons@tensorflow.org
wrappers	SIG-Addons	addons@tensorflow.org

Components

Submodule	Layer	Reference
maxout	Maxout	https://arxiv.org/abs/1302.4389
normalizations	GroupNormalization	https://arxiv.org/abs/1803.08494
normalizations	InstanceNormalization	https://arxiv.org/abs/1607.08022
normalizations	LayerNormalization	https://arxiv.org/abs/1607.06450
poincare	PoincareNormalize	https://arxiv.org/abs/1705.08039
sparsemax	Sparsemax	https://arxiv.org/abs/1602.02068
wrappers	WeightNormalization	https://arxiv.org/abs/1602.07868

Contribution Guidelines

Standard API

In order to conform with the current API standard, all layers must:

Inherit from either keras.layers.Layer or its subclasses.
Register as a keras global object so it can be serialized properly.
Add the addon to the py_library in this sub-package's BUILD file.

Testing Requirements

Simple unittests that demonstrate the layer is behaving as expected.
When applicable, run all unittests with TensorFlow's @run_in_graph_and_eager_modes (for test method) or run_all_in_graph_and_eager_modes (for TestCase subclass) decorator.
Run layer_test on the layer.
Add a py_test to this sub-package's BUILD file.

Documentation Requirements

Update the table of contents in this sub-package's README.