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Total Size:
39.2 MB
Info Hash:
8FCFA04622B8095E040DB7A00B6678F25E931C38
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Added:
March 1, 2026, 9:46 p.m.
Stats:
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(Last updated: March 1, 2026, 9:49 p.m.)
| File | Size |
|---|---|
| Herrmann L. Deep Learning in Computational Mechanics. An Intr. Course 2ed 2025.pdf | 39.2 MB |
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27.4 MB
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2023-06-20
| Uploaded by Nawala1337X | Size 27.4 MB | Health [ 20 /1 ] | Added 2023-06-20 |
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6.2 MB
[20
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2025-03-09
| Uploaded by CorsaroNero | Size 6.2 MB | Health [ 20 /31 ] | Added 2025-03-09 |
NOTE
SOURCE: Herrmann L. Deep Learning in Computational Mechanics. An Intr. Course 2ed 2025
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COVER
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MEDIAINFO
Textbook in PDF format This book provides a first course without requiring prerequisite knowledge. Fundamental concepts of machine learning are introduced before explaining neural networks. With this knowledge, prominent topics in deep learning for simulation are explored. These include surrogate modeling, physics-informed neural networks, generative artificial intelligence, Hamiltonian/Lagrangian neural networks, input convex neural networks, and more general machine learning techniques
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