August 2024
Intermediate to advanced
374 pages
8h 44m
English
Content preview from Machine Learning in ElixirBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Going from def to defn
So far in this chapter, you’ve learned about what a tensor is, how to create and manipulate tensors in Nx, and how to model the real world with tensors. This is all great, but you still haven’t learned how to unlock the true power of Nx just yet.
If you’ve been working with Elixir for a while, you’ve probably heard the argument Elixir and the Erlang Virtual Machine aren’t designed for the type of computations required in machine learning and scientific computing. All the examples you’ve seen in this chapter run in pure Elixir without any acceleration. The lack of acceleration is fine for the examples in this chapter, but for the computations required in machine learning, you’ll need acceleration. Enter the magic of
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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.
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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.