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Herrmann L. Deep Learning in Computational Mechanics. An Intr. Course 2ed 2025

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Herrmann L. Deep Learning in Computational Mechanics. An Intr. Course 2ed 2025

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Category: Other
Total size: 39.15 MB
Added: 3 weeks ago (2026-02-08 11:47:01)

Share ratio: 30 seeders, 1 leechers
Info Hash: 8FCFA04622B8095E040DB7A00B6678F25E931C38
Last updated: 10 hours ago (2026-03-02 20:01:22)

Description:

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