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👨‍💻 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

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