Metadata-Version: 2.1
Name: keras-mxnet
Version: 2.2.2
Summary: Deep Learning for humans. Keras with highly scalable,                   high performance Apache MXNet backend support.
Home-page: https://github.com/awslabs/keras-apache-mxnet
Author: Amazon Web Services
License: MIT
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Topic :: Software Development :: Libraries
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Provides-Extra: visualize
Provides-Extra: tests
Requires-Dist: numpy (>=1.9.1)
Requires-Dist: scipy (>=0.14)
Requires-Dist: six (>=1.9.0)
Requires-Dist: h5py (>=2.7.1)
Requires-Dist: pyyaml
Requires-Dist: keras-applications (==1.0.4)
Requires-Dist: keras-preprocessing (==1.0.1)
Provides-Extra: tests
Requires-Dist: pytest; extra == 'tests'
Requires-Dist: pytest-pep8; extra == 'tests'
Requires-Dist: pytest-xdist; extra == 'tests'
Requires-Dist: pytest-cov; extra == 'tests'
Requires-Dist: pandas; extra == 'tests'
Requires-Dist: requests; extra == 'tests'
Provides-Extra: visualize
Requires-Dist: pydot (>=1.2.4); extra == 'visualize'


Keras is a high-level neural networks API,
written in Python. Keras-MXNet is capable of running on top of
high performance, scalable Apache MXNet deep learning engine.

Use Keras-MXNet if you need a deep learning library that:

- Allows for easy and fast prototyping
  (through user friendliness, modularity, and extensibility).
- Supports both convolutional networks and recurrent networks,
  as well as combinations of the two.
- Runs seamlessly on CPU, one GPU and multi-GPU.

Read the Keras documentation at: https://keras.io/

Read the Keras-MXNet documentation at:
https://github.com/awslabs/keras-apache-mxnet/tree/master/docs/mxnet_backend

For a detailed overview of what makes Keras special, see:
https://keras.io/why-use-keras/
Keras is compatible with Python 2.7-3.6
and is distributed under the MIT liense.


