MIT 6.S191: Introduction to Deep Learning
Curated by MIT • Added 2026-08-15
MIT's official open courseware on deep neural networks & generative models
MIT's foundational course on deep learning methods and applications, covering convolutional networks, sequential modeling, transformers, reinforcement learning, and AI safety.
- ✓Perceptrons, multi-layer networks, backprop, and optimization math
- ✓Convolutional architectures for computer vision and image processing
- ✓Attention mechanisms and Transformer foundations for language understanding
- ✓Generative modeling including Variational Autoencoders and Diffusion models
- ★Official MIT curriculum lectures
- ★Accompanied by open Google Colab labs
- ★Completely free open access
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