December 2017
Intermediate to advanced
536 pages
14h 23m
English
Content preview from TensorFlow 1.x Deep Learning Cookbook
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Migrating from 0.x to 1.x
TensorFlow 1.x does not offer backward compatibility. This means that the codes that worked on TensorFlow 0.x may not work on TensorFlow 1.0. So, if you have codes that worked on TensorFlow 0.x, you need to upgrade them (old GitHub repositories or your own codes). This recipe will point out major differences between TensorFlow 0.x and TensorFlow 1.0 and will show you how to use the script tf_upgrade.py to automatically upgrade the code for TensorFlow 1.0.
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.