I have always wanted to “get into” machine learning, but I was always overwhelmed by the vast number of libraries, backends, and packages there are. I learn a lot by the implementation of something, much more so than just reading the math that describes the behavior.

This last semester of my masters degree, I am taking a deep learning course. Although this course isn’t focusing on implementation of algorithms primarily, I am planning on following along with implementation in Julia.

I have gotten pretty far already, and I have learned SO much more in doing so than what I have gotten out of the class so far. I wanted to document this process for anyone who is in a similar place and wants to learn more about using Julia for machine learning.