February 2020
Intermediate to advanced
328 pages
8h 19m
English
Content preview from Deep Learning with R Cookbook
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Accelerating with MXNet
MXNet stands for mix and maximize. It is a flexible and scalable deep learning framework that is used to develop and deploy deep learning models. It is capable of running on various heterogeneous systems in a memory-efficient way. MXNet is also supported by various cloud providers such as Amazon Web Services and Microsoft Azure. Developers have the flexibility to go for both imperative and symbolic programming, making it easier for debugging and hyperparameter tuning while maximizing efficiency. Another advantage that MXNet offers is that it supports multiple languages such as Python, R, Scala, Clojure, Julia, Perl, MATLAB, and JavaScript. In this recipe, we will demonstrate how to set up MXNet in Windows and Linux ...
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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.