alohaley/Ilya-Sutskever-s-Top-30-Reading-List

Ilya Sutskever 推荐的30篇Deep learning 必读论文 (中英文对照翻译版)

13
/ 100
Experimental

This project provides a curated reading list of 30 essential deep learning research papers, originally recommended by AI expert Ilya Sutskever. It offers both the original English papers and high-quality Chinese translations, making advanced AI concepts accessible to a wider audience. AI researchers, students, and practitioners can use this to deepen their understanding of foundational deep learning breakthroughs.

No commits in the last 6 months.

Use this if you are looking for a comprehensive, expert-vetted reading list to build a strong foundation in deep learning, especially if you benefit from Chinese translations.

Not ideal if you are seeking a general introduction to AI or deep learning, rather than diving into core research papers, or if you prefer video lectures over paper-based learning.

deep-learning artificial-intelligence machine-learning-research neural-networks ai-education
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 5 / 25
Maturity 8 / 25
Community 0 / 25

How are scores calculated?

Stars

13

Forks

Language

License

Last pushed

Dec 18, 2024

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/alohaley/Ilya-Sutskever-s-Top-30-Reading-List"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.