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Details for:
Herrmann L. Deep Learning in Computational Mechanics. An Intr. Course 2ed 2025
herrmann l deep learning computational mechanics intr course 2ed 2025
Type:
E-books
Files:
1
Size:
39.2 MB
Uploaded On:
Feb. 8, 2026, 11:21 a.m.
Added By:
andryold1
Seeders:
26
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0
Info Hash:
8FCFA04622B8095E040DB7A00B6678F25E931C38
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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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Herrmann L. Deep Learning in Computational Mechanics. An Intr. Course 2ed 2025.pdf
39.2 MB
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Herrmann L. Deep Learning in Computational Mechanics. An Intr. Course 2ed 2025
March 1, 2026, 9:46 p.m.