Lecture 26 - Physics-informed Deep Neural Networks#
Objectives#
Develop intuition about the potential applications of the ability to combine existing physical knowledge with data.
Develop intuition about the importance of symmetries in helping us learn with less data.
Use physics-informed neural networks to solve ordinary differential equations.
Use physics-informed neural networks to solve partial differential equations.
Use physics-informed neural networks to solve high-dimensional stochastic partial differential equations.