👨💻 New Deep Learning Course from MIT
Difficulty: 🌟🌟🌟🌟🌟
MIT has released its full "Deep Learning" course from the Department of Electrical Engineering and Computer Science as open access.
One of the main instructors is Phillip Isola, a respected researcher in computer vision and generative models who has worked at OpenAI and Google Research.
The course covers all the important topics: from the fundamental principles of training neural networks to modern, efficient approaches—from convolutional neural networks for image recognition to transformers, which are the foundation of LLMs.
✏️ You can take the course almost like an MIT student. Code and homework solutions can easily be checked using Claude Code or Codex—so you get a complete, free educational experience with feedback and the ability to learn at your own pace.
➡️ Lectures are available on YouTube.
📌 Slides, files, and assignments are on the MIT website.
Will you take it?
❤️ — Yes, absolutely!
🤔 — No, it's not for me...
@hiaimediaen


