Data-Efficient Deep Learning using Physics-Informed Neural Networks Published 2021-08-27 Download video MP4 360p Recommendations 59:56 Anima Anandkumar - Neural operator: A new paradigm for learning PDEs 51:22 Rethinking Physics Informed Neural Networks [NeurIPS'21] 1:32:01 Diffusion and Score-Based Generative Models 1:10:36 Physics-Informed Neural Networks (PINNs) - An Introduction - Ben Moseley | Jousef Murad 43:27 AI/ML+Physics Part 1: Choosing what to model [Physics Informed Machine Learning] 59:00 An Introduction to Graph Neural Networks: Models and Applications 1:18:53 George Karniadakis - From PINNs to DeepOnets 1:17:40 Lecture 9 | CNN Architectures 54:51 How to Create a Neural Network (and Train it to Identify Doodles) 54:45 DDPS | "When and why physics-informed neural networks fail to train" by Paris Perdikaris 26:56 Deep Learning to Discover Coordinates for Dynamics: Autoencoders & Physics Informed Machine Learning 13:00 Liquid Neural Networks | Ramin Hasani | TEDxMIT 55:15 MIT 6.S191 (2023): Convolutional Neural Networks 13:37 What are Transformer Models and How do they Work? 1:18:38 CS231n Winter 2016: Lecture 5: Neural Networks Part 2 1:08:56 Lecture 5 | Convolutional Neural Networks 2:25:52 The spelled-out intro to neural networks and backpropagation: building micrograd Similar videos 47:50 DeepXDE: A Deep Learning Library for Solving Differential Equations by Lu Lu 1:02:53 DDPS | Scientific Machine Learning through the Lens of Physics-Informed Neural Networks 1:32:53 ETH Zürich DLSC: Physics-Informed Neural Networks - Applications 18:00 Physics-informed neural networks for fluid mechanics 57:27 DataLearning: Physics-Informed Deep Learning - Learning from Small Data 08:31 How Do Physics-Informed Neural Networks Work? 51:40 A Hands-on Introduction to Physics-informed Machine Learning 46:27 Hamed Saidaoui, Deep Nurbs : Physics-Informed Neural Networks for Complex Geometries 1:38:53 ETH Zürich DLSC: Physics-Informed Neural Networks - Limitations and Extensions 36:23 Physics-informed neural networks (PINNs) 40:43 PDENA22: Physics informed Machine Learning 45:26 Robust Physics-Informed Neural Networks More results