TensorFlow is the Google built open source software library for machine intelliegence.

Ubuntu / mac OS. Create a new virtual environment by choosing a Python interpreter and making a./venv directory to hold it: virtualenv -system-site-packages -p python3./venv. Installing Bazel on macOS. Install Bazel on macOS using one of the following methods: Use the binary installer (recommended) Use Homebrew. Step 2: Download the Bazel installer. Next, download the Bazel binary installer named bazel-installer-darwin-x8664.sh from.

Per Google: TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them.

This article assumes that you have a basic knowledge of the terminal, node, homebrew, and the command line -- and that you are working on a Mac (directions could be adjusted for a PC, but that's not what they're written for).This article also assumes that you do not have a working knowledge of python or anaconda.

Check your version of python:

$ python --version

If it is not 3.5, download and install it from here

Install Dependencies:

$ brew install bazel swig

$ sudo easy_install -U six

$ sudo easy_install -U numpy

$ sudo easy_install wheel

$ sudo easy_install ipython

Installing Anaconda

• Go to continuum to download the Anaconda CLI installerDownload Command-Line Installer for Python 3.5

$ cd [downloaded file location -- most likely Downloads]

$ bash FILENAME

$ cd

$ vim .zshrc (or .bash_profile)

From vim add export PATH='$HOME/anaconda3/bin:$PATH' to your .zshrc or .bash_profile file, then exit vim.

$ conda install -c conda-forge tensorflow

(where NAME = the name you give your environment)

$ conda create —n NAME python=3.5

$ source activate NAME (at the end $ source deactivate to exit)

Other helpful Anaconda Commands:

• List your environments: $ conda info —-envs
• What Anaconda Version? $ conda info —-version
• Help: $ conda info —h
• Remove an environment: conda-env remove -n NAME

Then to test it…

$ source activate NAME

$ ipython

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[1]: import tensorflow as tf

[2]: <blank> the fact that nothing shows up here is good

then...

[2]: exit

After exiting OR instead of using ipython:

$ jupyter notebook

(pick a folder or create one then create a notebook)

In the first text line of the notebook:import tensorflow as tf

In the top menu bar go to cell > run all. You should see no errors -- that's good!

Next you can test whatever you want, for example — the small python code segment from the tensorflow site:

Copy and Paste this entire script into your jupyter notebook file

In the top menu bar go to cell > run all — and your result will be calculated in the bottom of the notebook.

Special thanks to a data scientist friend and some willing test subjects to work out the kinks in this process.

Released:

ANSII Color formatting for output in terminal.

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CHANGES

1.0.1 (13.01.2011)

• Updated README.rst.

1.0.0 (13.01.2011)

• Changed license to MIT.
• Updated copyright.
• Refactored source code.

0.1.2 (04.06.2009)

• Fixed bold characters. (Thanks Tibor Fekete)

0.1.1 (05.03.2009)

• Some refactoring.
• Updated copyright.
• Fixed reset colors.
• Updated documentation.

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1.1.0

1.0.1

1.0.0

0.2

0.1.2

0.1.1

0.1

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