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Installing Keras

conda-forge  is a GitHub entity with a repository of  conda  recipes.
  1. Next, we will install Keras using conda from conda-forge
  2. Execute the following command on the Terminal:
conda install -c conda-forge keras

The following listed output will confirm that Keras is installed:

Fetching package metadata .............
Solving package specifications: .
Package plan for installation in environment /home/ubuntu/miniconda2:

The following new packages will also be installed:

h5py: 2.7.1-py27_2 conda-forge
hdf5: 1.10.1-1 conda-forge
keras: 2.0.9-py27_0 conda-forge
libgfortran: 3.0.0-1
pyyaml: 3.12-py27_1 conda-forge
Proceed ([y]/n)? y
libgfortran-3. 100% |#############################################################| Time: 0:00:00 35.16 MB/s
hdf5-1.10.1-1. 100% |#############################################################| Time: 0:00:00 34.26 MB/s
pyyaml-3.12-py 100% |#############################################################| Time: 0:00:00 60.08 MB/s
h5py-2.7.1-py2 100% |#############################################################| Time: 0:00:00 58.54 MB/s
keras-2.0.9-py 100% |#############################################################| Time: 0:00:00 45.92 MB/s
  1. Let's verify the Keras installation with the following code:
$ python
Python 2.7.14 |Anaconda, Inc.| (default, Oct 16 2017, 17:29:19)
  1. Execute the following command to verify that Keras has been installed:
> from keras.models import Sequential
Using TensorFlow backend.
>>>

Notice that Keras is using the TensorFlow backend.

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