Up and running with TensorFlow on Windows

I was having some problems installing TensorFlow the way that is described on the webiste https://www.tensorflow.org/install/install_windows

I tried both pip and Anaconda, and failed.

The pip installation gave me this error:

Importing the multiarray numpy extension module failed. Most
likely you are trying to import a failed build of numpy.
If you’re working with a numpy git repo, try `git clean -xdf` (removes all
files not under version control). Otherwise reinstall numpy.

The Anaconda gave me this error message:

tensorflow-1.2.1-cp35-cp35m-win_amd64.whl is not a supported wheel on this platform

and later

ImportError: No module named ‘tensorflow’

I then tried to pip using this:

pip install tensorflow

And, if I used an Anaconda command prompt, everything worked like a (sort of) charm. You can test it out by:

activate tensorflow

python

and then running this in the python console:

>>> import tensorflow as tf
>>> hello = tf.constant('Hello, TensorFlow!')
>>> sess = tf.Session()
>>> print(sess.run(hello))

Not sure if one of the original 15 attempts set this one up for success, but if you are having a hard time getting Tensorflow installed on your windows machine, this mine be the trick for you as well.

Regards,

Matt

New Product Development Process

There is no one-size-fits-all process for new product development, but I liked this one:
New-Product-Development

I saw it while reading CTL.SC1x Key Concepts􀀁MITx MicroMasters in Supply Chain Management (link), and I believe that it is extracted from “Cooper, Robert (2001) Winning at New Products.”

I am hoping to do a write up on how this conventional product development pipeline struggles to add value to an enterprise. The primary challenge is connecting an unpredictable, non-linear invention process with a corporate framework that requires predictability. More to follow soon.