Intro to Deep Learning (MIT 6.S191)

Intermediate Computer Science by Eldeeb. 10 lectures, 9.7 hours. Covers: deep learning neural networks cnn rnn transformers generative models.

Lectures

1. MIT Introduction to Deep Learning (2025) | 6.S191 · 1 h 9 min
2. MIT 6.S191 (2025): Recurrent Neural Networks, Transformers, and Attention · 1 h 2 min
3. MIT 6.S191 (2025): Convolutional Neural Networks · 1 h 1 min
4. MIT 6.S191 (2025): Deep Generative Modeling · 49 min
5. MIT 6.S191 (2025): Reinforcement Learning · 1 h 2 min
6. MIT 6.S191 (2025): Language Models and New Frontiers · 48 min
7. MIT 6.S191 (2025): Large Language Models (Google) · 56 min
8. MIT 6.S191 (2025): Large Language Models (Liquid AI) · 1 h 8 min
9. MIT 6.S191 (2025): A Hipocratic Oath, for *your* AI (Comet ML) · 51 min
10. MIT 6.S191 (2025): AI for Biology (Microsoft) · 57 min

Quick explainers

• DL 1.1. Deep Learning - Introduction | Deep Learning Course · 14 min
• All Machine Learning algorithms explained in 17 min · 17 min
• What is Deep Learning and How it Works | Deep Learning Explained · 5 min
• Machine Learning Explained Simply (In 12 Minutes) · 12 min

All courses