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AI/ML+Physics Part 1: Choosing what to model [Physics Informed Machine Learning]
Steve Brunton
23 ก.พ. 2024
การดู 62,532 ครั้ง
AI/ML+Physics Part 2: Curating Training Data [Physics Informed Machine Learning]
The Most Important Algorithm in Machine Learning
Physics Informed Machine Learning: High Level Overview of AI and ML in Science and Engineering
P vs. NP: The Biggest Puzzle in Computer Science
AI คืออะไร ??? อธิบายโคตรละเอียด
Watching Neural Networks Learn
Miles Cranmer - The Next Great Scientific Theory is Hiding Inside a Neural Network (April 3, 2024)
ChatGPT: 30 Year History | How AI Learned to Talk
Reinforcement Learning: Machine Learning Meets Control Theory
AI/ML+Physics Part 3: Designing an Architecture [Physics Informed Machine Learning]
MIT Introduction to Deep Learning (2023) | 6.S191
Sparse Identification of Nonlinear Dynamics (SINDy): Sparse Machine Learning Models 5 Years Later!
AI/ML+Physics Part 5: Employing an Optimization Algorithm [Physics Informed Machine Learning]
Can a New Law of Physics Explain a Black Hole Paradox?
Physics Informed Neural Networks
This is why Deep Learning is really weird.
AI/ML+Physics Part 4: Crafting a Loss Function [Physics Informed Machine Learning]
Neural Network Architectures & Deep Learning