Develop essential data science & ai skills with expert instruction and practical examples.
DescriptionThis is a complete course that will prepare you to use Physics-Informed Neural Networks (PINNs). We will cover the fundamentals of Solving partial differential equations (PDEs) and how to solve them using finite difference method as well as Physics-Informed Neural Networks (PINNs). What skills will you Learn:In this course, you will learn the following skills:Understand the Math behind Finite Difference Method.
Write and build Algorithms from scratch to sole the Finite Difference Method. Understand the Math behind partial differential equations (PDEs). Write and build Machine Learning Algorithms to solve PINNs using Pytorch.
Write and build Machine Learning Algorithms to solve PINNs using DeepXDE. Postprocess the results. Use opensource libraries.
We will cover:Finite Difference Method (FDM) Numerical Solution 1D Heat Equation. Finite Difference Method (FDM) Numerical Solution for 2D Burgers Equation. Physics-Informed Neural Networks (PINNs) Solution for 1D Burgers Equation.
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