AI Navigate

Mathematical Foundations of Deep Learning

arXiv cs.LG / 3/20/2026

📰 NewsIdeas & Deep AnalysisModels & Research
Read original →
共有:

Key Points

  • The article announces a new arXiv draft book titled "Mathematical Foundations of Deep Learning" that provides a rigorous mathematical treatment of foundational ideas in deep learning.
  • It covers core theoretical topics including the approximation capabilities of deep neural networks.
  • It explores the theory and algorithms of optimal control and reinforcement learning integrated with deep learning techniques.
  • It discusses contemporary generative models that are driving today's advances in artificial intelligence.
  • Being a draft on arXiv, the work is released as v1 and invites feedback from the research community.

Abstract

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.

関連おすすめサービス

※当サイトはアフィリエイト広告を利用しています
🎧

Notta搭載AI議事録イヤホン ZENCHORD1

AI時代の仕事術。Notta搭載で会議の議事録を自動生成するスマートイヤホン。

🎙️

AI搭載ボイスレコーダー Plaud

世界100万人が愛用。AIで文字起こし・要約を自動化するボイスレコーダー。

🖼️

画像高画質化AIツール Aiarty Image Enhancer

AIで画像を高画質化。写真・イラストを簡単にアップスケール。