I’m quite new to this field and still learning the basics, so please excuse any beginner questions.
I’m really interested in Physics-Informed Neural Networks (PINNs) and would love to understand how to implement them step by step.Could someone kindly guide me or share some resources/tutorials that explain the process in a beginner-friendly way? I’d truly appreciate any help or direction you can offer.
I assume you already have some basic knowledge of how neural networks work, the basic feed forward ones which are discussed in deep learning course 1/2/3 from Andrew Ng.
Then PINNs are easy to learn after that, providing you have some scientific/engineering background.
See package DeepXDE for example, which is used by many academics. They have lots of demos for basic equations. You can learn from them.