March 2018
Intermediate to advanced
484 pages
10h 31m
English
book
Deep Learning with TensorFlow - Second Edition
by Giancarlo Zaccone, Vihan Jain, Md. Rezaul Karim, Motaz Saad
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Chapter 7. Heterogeneous and Distributed Computing
A computation expressed using TensorFlow can be executed with little or no changes on a wide variety of heterogeneous systems, ranging from mobile devices such as phones and tablets up to large-scale distributed systems of hundreds of machines and thousands of computational devices, such as GPU cards.
In this chapter, we explore this fundamental topic on TensorFlow. In particular, we shall consider the possibility of executing TensorFlow models on GPU cards and distributed systems.
GPUs have additional advantages over CPUs, including having more computational units and having a higher bandwidth for memory retrieval. Furthermore, in many deep learning applications that require a lot of computational ...
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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.