January 2018
Intermediate to advanced
470 pages
11h 9m
English
Content preview from Scala Machine Learning Projects
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Setting and configuring MXNet for Scala
Apache MXNet is a flexible and efficient library for deep learning. Building a high-performance deep learning library requires many system-level design decisions. In this design note, we share the rationale for the specific choices made when designing MXNet. We imagine that these insights may be useful to both deep learning practitioners and builders of other deep learning systems.
For this project, we will be needing different packages and libraries: Scala, Java, OpenBLAS, ATLAS, OpenCV, and overall, MXNet. Now let's start configuring these tools one by one. For Java and Scala, I am assuming that you already have Java and Scala configured. Now the next task is to install build tools and git since we ...
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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.