Infinitely Fallible

Deep Learning Primer

This is a collection of notes on deep learning I'm writing. My main goal in writing these notes is to clarify and solidify these concepts in my own mind. I will be adding to these notes on a weekly basis for the foreseeable future.

Note: These notes are incomplete and are still a work in progress. Check back soon if you are interested in reading them.

Here is a list of that these notes will cover:

  1. What is Deep Learning?
  2. Mathematical Background
  3. Machine Learning Background
  4. Introduction to Neural Networks
  5. Convolutional Neural Networks
  6. Language Models
  7. Generative Models
  8. Embeddings
  9. Deep Reinforcement Learning

Each one of these notes will be a separate hand-written document that I will link to once complete.