Groxio Learning

▐Nx

Welcome to our Elixir Nx course! In this comprehensive program, you will dive into the world of Elixir and Nx, a powerful development toolkit for building scalable and maintainable machine learning applications. You’ll write your own functions with Defn, and use Nx to solve your own linear regression. Then, you’ll use Axon to train a FizzBuzz game. When you’re done, you’ll have a better understanding of machine learning in Elixir.

Instructor:
Bruce Tate

20
videos

6
hours

▐Product Timeline

Allow 18 Hours for Completion

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▐Product Details

Nx is a library for building numerical computing applications, the so-called STEM applications, in Elixir. Rather than using basic Elixir numeric datatypes and lists, Nx uses tightly integrated pluggable backends to implement support for efficient types and structures. The result is a seamless and smooth experience.

The Nx project already has an impressive list of smaller projects underway. The LiveBook takes advantage of Phoenix LiveView and Nx to provide a place to collaboratively share research projects with data, code, and prose. The EXLA project provides support for Google’s excelerated linear algebra within a LiveBook. Compiler support and backends provide tight integration to efficient STEM libraries in other langauges.

▐Product Contents

Intro
1. Elixir Axon: A FizzBuzz Demo	39:37
2. Nx: Overview and Creating Tensors	21:18

Tensors and Operators
3. Nx: Numerical Definitions and defn	15:45
4. Nx: Broadcasting Compatible Tensors	12:27
5. Nx: Ways to Create Tensors	18:27
6. Nx: Slicing Tensors to Access Data	12:18

Dot Products
7. Elixir Nx Dot Products	9:13
8. Elixir Nx Dot Product Intuition	9:41

Regressions
9. Linear Regression Intuition	6:25
10. Nx Linear Regression: Loss and Predictions	23:18
11. Nx Training Functions for a Linear Regression	18:16
12. Elixir NX: Writing a Training Script for a Linear Regression	23:50