- A Short Introduction To Machine Learning
- But what is a Neural Network?
- Gradient Descent, How neural networks learn
- The Spelled Out Intro to Neural Networks and Back Propagation
- An Introduction to Deep Reinforcement Learning
- What is a GPT - A visual intro to transformers
- 60 Minute Blitz into Pytorch
- The Illustrated GPT-2 - Visualising Transformer Language Models
- The Transformer Explained
- The Illustrated Transformer
- Attention in RNNs
- The Annotated Transformer
Other interesting resources
- https://huggingface.co/learn/deep-rl-course/unit0/introduction
- An introduction to Language Modelling ( https://www.youtube.com/watch?v=1il-s4mgNdI&list=PLyPKqVSnetmELS_I3FRfXZRKAxV5HB9fc )
- Tensorflow's Guide to building Machine Translation RNNs ( https://github.com/tensorflow/nmt )
- https://transformersbook.com