How Do Physics-Informed Neural Networks Work?

The video tutorial introduces physics informed neural networks, explaining their significance in machine learning. It covers the basics of neural networks, optimization, and the critical role of loss functions. The tutorial highlights how physics equations can inform loss functions, improving model accuracy. It includes examples like Burgers and Schrodinger's equations, demonstrating practical applications and code insights.

What new insight or understanding did you gain from this video?

Evaluate responses using AI:

OFF