November 2019
Intermediate to advanced
296 pages
7h 52m
English
Content preview from Hands-On Machine Learning with TensorFlow.js
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Operations that use the CPU backend
The CPU backend is the most basic backend because of its colossal availability and universality. Kernel operations are implemented in the JavaScript program so that it can be executed wherever TensorFlow.js can be run. It is simple and easy to create a new kernel operation in this backend. However, as a tradeoff, the performance of this implementation cannot be said to be competitive by any standard. The whole execution runs on a single thread. There is no benefit of hardware acceleration. The available resource is limited by the runtime of JavaScript. In general, the CPU backend should not be used in a production-level application.
Before we talk about CPU backend implementation, let's take a look at ...
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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.