Installing Keras

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.