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Mathematical Introduction to Deep Learning [Jentzen] - Printable Version +- MKLab (https://mklab.gr) +-- Forum: [INDEX] (https://mklab.gr/forumdisplay.php?fid=1) +--- Forum: ARTFICIAL INTELLIGENCE (AI) (https://mklab.gr/forumdisplay.php?fid=5) +---- Forum: BOOKS (https://mklab.gr/forumdisplay.php?fid=32) +---- Thread: Mathematical Introduction to Deep Learning [Jentzen] (/showthread.php?tid=285) |
Mathematical Introduction to Deep Learning [Jentzen] - mklabgr - 06-10-2026 Mathematical Introduction to Deep LearningĀ AuthorsĀ Arnulf Jentzen Benno Kuckuck Philippe von Wurstemberger Summary "Mathematical Introduction to Deep Learning: Methods, Implementations, and Theory" (by Arnulf Jentzen, Benno Kuckuck, and Philippe von Wurstemberger) is a comprehensive, textbook-length manuscript (~730 pages) that provides a rigorous, proof-based mathematical foundation for deep learning. BOOK PAGE |