Machine Learning in Elixir

Chapter 6Go Deep with Axon

In the previous chapter, your focus was primarily on understanding “traditional” or “shallow” machine learning approaches. The approaches you used, such as linear and logistic regression, ensemble methods, and decision trees, are well-suited for creating valuable, performant solutions to many machine learning problems you will encounter in production. However, the rise of deep learning over the past decade has led to significant progress in the field of artificial intelligence and machine learning.

Today, variants of deep learning models boast state-of-the-art results on countless tasks in computer vision, natural language processing, reinforcement learning, and more. The rapid adoption of deep learning and the ...