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PINNs
Speed up techniques
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jaeminoh/PINNs
PINNs
jaeminoh/PINNs
Introduction
1. Preliminaries
1. Preliminaries
Preliminaries
Neural Networks
Differential Equation
Automatic Differentiation
Three types of errors
2. PINNs
2. PINNs
Physics-informed neural networks
Optimization (Training)
3. Training
3. Training
Gradient Flow Pathologies
Neural Tangent Kernel Theory
Limitations of PINNs
5. Etc
5. Etc
Practical Advices
Separable Physics-informed Neural Networks
Taylor Mode Automatic Differentiation
Speed up techniques
Speed up techniques