Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 400 universities from 60 countries including Stanford, MIT, Harvard, and Cambridge. - GitHub - d2l-ai/d2l-en: Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 400 universities from 60 countries including Stanford, MIT, Harvard, and Cambridge.
M. Hoq, S. Chilla, M. Ranjbar, P. Brusilovsky, and B. Akram. Proceedings of the 32nd ACM International Conference on Information and Knowledge Management
, page 783-792. ACM, (October 2023)
M. Shan, Y. Ma, S. Ruan, Z. Cao, S. Tong, Q. Liu, Y. Su, and S. Wang. Proceedings of the 32nd ACM International Conference on Information and Knowledge Management
, page 2178-2187. ACM, (October 2023)
C. Wang, and S. Sahebi. Proceedings of the 32nd ACM International Conference on Information and Knowledge Management
, page 2616-2625. ACM, (October 2023)
J. Lee, Y. Lee, J. Kim, A. Kosiorek, S. Choi, and Y. Teh. Proceedings of the 36th International Conference on Machine Learning
, volume 97 of Proceedings of Machine Learning Research, page 3744--3753. PMLR, (09--15 Jun 2019)