# Mathematical Foundations of Deep Learning

arXiv: https://arxiv.org/abs/2603.18387 · HTML: https://mlsanity.com/paper/2603.18387/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- First posted on arXiv 19 Mar 2026.

## Abstract (arXiv)

This draft book offers a comprehensive and rigorous treatment of the mathematical principles underlying modern deep learning. The book spans core theoretical topics, from the approximation capabilities of deep neural networks, the theory and algorithms of optimal control and reinforcement learning integrated with deep learning techniques, to contemporary generative models that drive today's advances in artificial intelligence.