本书尽可能地为文档中的所有主题以 Jupyter Notebook的形式提供动手代码示例，以方便快速入门。除了从数据中进行标准的监督学习之外，本书还将研究物理损失约束、具有可微模拟的更紧密耦合的学习算法，以及强化学习和不确定性建模。电子书链接：Physics-based Deep Learning Book https://www.physicsbaseddeeplearning.org...
电子书《Physics-based Deep Learning》基于物理的深度学习书籍(v0.2版)👋O网页链接本文档包含了与物理模拟背景下深度学习相关的一切内容的实用和全面介绍。尽可能地,所有主题都附有Jupyter notebook形式的实践代码示例,以便快速入门。除了标准的从数据中进行监督学习,我们还将探讨物理损失约束、与可微分模拟更紧密耦合...
具体可参考下面链接: https://github.com/thunil/Physics-Based-Deep-Learning 下载对应资料,请在公众号回复:物理 了解更多关于《计算机视觉与图形学》相关知识,请关注公众号: 下载我们视频中代码和相关讲义,请在公众号回复:计算机视觉课程资料...
This digital book contains a practical and comprehensive introduction of everything related to deep learning in the context of physical simulations. As much as possible, all topics come with hands-on code examples in the form of Jupyter notebooks to quickly get started. Beyond standard supervised ...
Books & Thesis Physics-based Deep Learning, 2021. single-PDF version, online readable version Patrick Kidger, On Neural Differential Equations, 2022. thesis Peter J. Olver, Introduction to Partial Differential Equations, 2014. bookAbout No description, website, or topics provided. Resources Read...
If you're interested in a comprehensive overview, please check our digital PBDL book:https://www.physicsbaseddeeplearning.org/(or as PDF:https://arxiv.org/pdf/2109.05237.pdf) Within this area, we can distinguish a variety of different physics-based approaches, from targeting designs, constrain...
This digital book contains a practical and comprehensive introduction of everything related to deep learning in the context of physical simulations. As much as possible, all topics come with hands-on code examples in the form of Jupyter notebooks to quickly get started. Beyond standard supervised ...
Recently, wide attention has been paid to develop deep learning-based models for structural damage identification. However, in most of the studies, the pure deep learning-based structural damage identification methods lack physical interpretability and scientific consistency for generalization. Therefore, al...
Welcome to the Physics-based Deep Learning Book (v0.2) Jupyter Notebook1k166 Solver-in-the-LoopSolver-in-the-LoopPublic Solver-in-the-Loop: Learning from Differentiable Physics to Interact with Iterative PDE-Solvers Python15131 mantaflowmantaflowPublic ...
If you're interested in a comprehensive overview, please check our digital PBDL book: https://www.physicsbaseddeeplearning.org/ (or as PDF: https://arxiv.org/pdf/2109.05237.pdf)Within this area, we can distinguish a variety of different physics-based approaches, from targeting designs, ...