[PYTHON] Introducing keras on virtual environment (pyenv: anaconda) on server by conda (tensorflow backend)

Anaconda2 and 3 virtual environments have already been installed in pyenv.

Introducing Tensorflow

--tensorflow installation Use Anaconda install (https://www.tensorflow.org/versions/r0.11/get_started/os_setup.html#pip-installation)

	$ conda create -n tf-cpu python=3.5
	$ conda install -c conda-forge tensorflow

--Checking the anaconda virtual environment

	$ conda env list
	tf-cpu                *  ~/pyenv/versions/anaconda3-4.1.0/envs/tf-cpu
	root					 ~/.pyenv/versions/anaconda3-4.1.0
	
	$ conda create -n tf-cpu python=3.5
	$ conda install -c conda-forge tensorflow

Verification I was able to import it with the python shell, but I can't read it with ipython. It seems that it refers to the directory of the virtual environment on pyenv instead of the virtual environment of conda. If you think about it carefully, you can see it when ipython is running even though ipython is not installed on conda in the first place ...
```
 $ ipython
 In [1]: import numpy
 In [2]: import tensorflow	
 error	
```

--Adding environment variables If you write appropriate code in .ipython/profile_default/startup/, it seems to be executed automatically at startup. Added the following to hoge.py

	> import sys
	> sys.path.append('~.pyenv/versions/anaconda3-4.1.0/envs/tf-cpu/lib/python3.5/site-packages/')

--Introduction of keras Only one line. Super easy （https://keras.io/ja/#_2）

	> pip install keras

--Usually, you can switch the environment with source activate tf-cpu, but it seems that you have to specify it with an absolute path on pyenv, so it is troublesome, so make it alias. I haven't changed the backend yet, and some people have written it, so I'll omit it.

	$ tf-cpu
	$ ipython
	In [1]: import tensorflow
	In [2]: import keras
	Using TensorFlow backend.
	In [3]:

Ok.

pyenv, vurtialenv, pyenv-virtualenv and conda

（http://dackdive.hateblo.jp/entry/2015/12/12/163400） Since it was described in detail in, a memo 　 pyenv: Version control of python, only one virtual environment for each version 　 vurtialenv: You can create a virtual environment with the same version 　 pyenv-virtualenv： It seems that pyenv can be given any name. 　 conda： I forgot, but I think conda is upward compatible with pyenv somewhere, so I plan to use this for the time being.