MIT 6.S191 Introduction to Deep Learning is a short, intensive deep learning course held at MIT every year. All the lecture videos, slides and labs are published for free at introtodeeplearning.com.
What’s in it? Neural network fundamentals, sequence models, networks for images, generative models, reinforcement learning and large language models. Each lecture runs about an hour. The labs run on Google Colab, so you don’t need to install anything.
Why we recommend it: The content is refreshed every year, so it keeps up with where the field is. It’s a good follow-up for anyone who wants to see the maths and code behind the ideas in our CNN, LSTM and Transformer posts.
Who is it for? Anyone with a little Python who wants a fast but solid introduction to deep learning. Recordings from previous years are archived on the site too.
- Course page: MIT 6.S191 Introduction to Deep Learning