Mathematical Introduction to Deep Learning [Jentzen]
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Mathematical Introduction to Deep Learning 
Authors  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.

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Mathematical Introduction to Deep Learning [Jentzen] - by mklabgr - 06-10-2026, 09:04 PM

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