
Автор: Stefan Kollmannsberger, Davide D’Angella, Moritz Jokeit, Leon Herrmann
Издательство: Springer
Год: 2021
Формат: ePUB, PDF
Страниц: 108
Размер: 14,7 Mb
Язык: English
This book provides a first course on deep learning in computational mechanics. The book starts with a short introduction to machine learning’s fundamental concepts before neural networks are explained thoroughly. It then provides an overview of current topics in physics and engineering, setting the stage for the book’s main topics: physics-informed neural networks and the deep energy method.