Cherry pick keras-team/keras 2.1.6 missing 3 commits into awslabs/ker…

…as-apache-mxnet (#96)

setup.py

@@ -3,42 +3,39 @@
 
 long_description = '''
 Keras is a high-level neural networks API,
-written in Python and capable of running on top of
-TensorFlow, CNTK, or Theano.
+written in Python. Keras-MXNet is capable of running on top of
+high performance, scalable Apache MXNet deep learning engine.
 
-Use Keras if you need a deep learning library that:
+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 and GPU.
+- Runs seamlessly on CPU, one GPU and multi-GPU.
 
-Read the documentation at: https://keras.io/
+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.
 '''
 
-setup(name='Keras',
+setup(name='keras-mxnet',
       version='2.2.0',
-      description='Deep Learning for humans',
+      description='Deep Learning for humans. Keras with highly scalable, high performance Apache MXNet backend support.',
       long_description=long_description,
-      author='Francois Chollet',
-      author_email='francois.chollet@gmail.com',
-      url='https://github.com/keras-team/keras',
-      download_url='https://github.com/keras-team/keras/tarball/2.2.0',
+      author='Amazon Web Services',
+      url='https://github.com/awslabs/keras-apache-mxnet',
       license='MIT',
       install_requires=['numpy>=1.9.1',
                         'scipy>=0.14',
                         'six>=1.9.0',
-                        'pyyaml',
-                        'h5py',
-                        'keras_applications==1.0.2',
-                        'keras_preprocessing==1.0.1'],
+                        'h5py>=2.7.1',
+                        'pyyaml'],
       extras_require={
           'visualize': ['pydot>=1.2.4'],
           'tests': ['pytest',