tensorflow_keras_jupyter_install_cheat_sheet.txt

# create a new environment 
$ conda create -n tfx1 python==3.6

# activate the environment you just created
$ source activate tfx1 # linux/mac
$ activate tfx1 #windows

# install pip 
$ conda install pip

# install latest version of Tensorflow
$ pip install --upgrade tensorflow 

# if you are prompted to upgrade pip
$ pip install --upgrade pip

#̵ install the latest version of Keras
$ pip install --upgrade keras

# install nb_conda for easily managing/switching notebook kernel
$ conda install nb_conda
$ conda install jupyter
$ conda install ipykernel

# run the following to set the name of your env from within jupyter
python -m ipykernel install --user --name tfx1 --display-name tfx1

# test in python shell
$ python
Python 3.6.0 |Continuum Analytics, Inc.| (default, Dec 23 2016, 13:19:00) 
[GCC 4.2.1 Compatible Apple LLVM 6.0 (clang-600.0.57)] on darwin
Type "help", "copyright", "credits" or "license" for more information.
>>> import tensorflow as tf
>>> import keras
Using TensorFlow backend.
>>> tf.__version__
'1.12.0'
>>> keras.__version__
'2.2.4'
>>> quit()

# launch Jupyter Notebook
$ jupyter notebook

# after jupyter launchs use "Kernel -> Change Kernel" to set your new env tfx1