Download Deep Learning in Computational Mechanics - An Introductory Course PDF Free - Full Version
Download Deep Learning in Computational Mechanics - An Introductory Course by Stefan Kollmannsberger in PDF format completely FREE. No registration required, no payment needed. Get instant access to this valuable resource on PDFdrive.to!
About Deep Learning in Computational Mechanics - An Introductory Course
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. The idea of the book is to provide the basic concepts in a mathematically sound manner and yet to stay as simple as possible. To achieve this goal, mostly one-dimensional examples are investigated, such as approximating functions by neural networks or the simulation of the temperature's evolution in a one-dimensional bar. Each chapter contains examples and exercises which are either solved analytically or in PyTorch, an open-source machine learning framework for python
Detailed Information
| Author: | Stefan Kollmannsberger |
|---|---|
| Publication Year: | 2021 |
| ISBN: | 3030765865 |
| Language: | other |
| File Size: | 2.6792 |
| Format: | |
| Price: | FREE |
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