Siraj Raval’s video & Google’s Codelab tutorial is good stuff to begin with.
I came to know following.
Docker is a tool designed to make it easier to create, deploy, and run applications by using containers. Containers allow a developer to package up an application with all of the parts it needs, such as libraries and other dependencies, and ship it all out as one package.
Here, I don’t need it as I have installed tensorflow successfully. So I just need bunch of images, retrain the last layer of inception model and I’m done with it!
If only I knew then, what I know now.
Few month back, I bought Lenovo’s Laptop and started Installing basic stuff but sometimes Installing basic apps could take hours and hours with no result whatsoever.
ain’t nobody got time to update . NET, Teamviewer, Skype and VLC.
Seriously Who does that?
I don’t want this blog to be a “tutorial blog” but Installing Tensorflow on Windows 10 x64 machine was difficult than anticipated.
For Tensorflow you require Python 3 and not 2.
my biggest mistake was installing python 32 bit. I went on python’s Homepage and downloaded python 3.6.1. If you click on Download Python 3.6.1 you will download 32 bit version or at least that’s what happened with me.
Go here and look for the latest version with Windows x86-64 executable installer for 64 bit windows machine.
Set environmental Variables [The same way we do for jdk ]
As finding correct wheel for your machine could be difficult Here’s the one for Windows x64 from my Git
Don’t forget to extract Numpy as I have archived before uploading to it to git.
A wheel is a ZIP-format archive with a specially formatted filename and the .whl extension. It is designed to contain all the files for a PEP 376 compatible install in a way that is very close to the on-disk format.