August 2024
Intermediate to advanced
374 pages
8h 44m
English
In the previous chapters, you’ve become more grounded in the foundations of machine learning. At this point, you should feel more comfortable working with Nx, and it’s okay if you don’t grasp everything. Part of the beauty of the tooling in the Nx ecosystem is that it greatly reduces the complexity of common machine learning tasks. You don’t need to be a math expert to train a machine learning model in Elixir. You need only to understand a bit of Elixir, and a bit of Nx.
In Chapter 4, Optimize Everything, you wrote a linear regression model from scratch using Nx. While following along, you might have noticed the task was a bit verbose to write from scratch. Nx offers a lot of flexibility, but you don’t ...
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