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Обычная версия сайта
2026/2027

Математические основания и приложения нейросетей

Статус: Дисциплина общефакультетского пула
Когда читается: 2 модуль
Охват аудитории: для всех кампусов НИУ ВШЭ
Язык: английский
Кредиты: 3
Контактные часы: 16

Course Syllabus

Abstract

This short course offers a broad introduction to both the theory and practice of neural networks, with particular emphasis on mathematical foundations and applications in scientific computing. It begins with classical model-based methods, moves to data-driven models (MLP, CNN, GNN), discusses theoretical results on expressive power and the generalization gap, and concludes with cutting-edge applications in scientific problem solving (PINNs, Neural Operators, PDE discovery)