Download Udemy – PINNs Using NVIDIA Modulus 2024-3

Description

PINNs Using NVIDIA Modulus course. This is an introductory course that prepares you to work with physics-based neural networks (PINN) using the NVIDIA module. We will cover the basics of solving Partial Differential Equations (PDEs) using Physics-Based Neural Networks (PINNs) from its basics and March to solving PINNs with the Nvidia module. What skills you will learn: In this course, you will learn the following skills:

Understand the mathematics behind solving partial differential equations (PDEs) with pins.
Write and build machine learning algorithms to solve pins using Pytorch.
Write and build machine learning algorithms to solve pins using Nvidia modules.
Results after processing
Use open source libraries.
Define your own PDEs to solve them or use built-in equations (such as the NS equations in Nvidia Modulus).

We will cover:

Pytorch basics.
How to deploy Nvidia Modulus on your PC GPU and in Google Collab.
Physics informed neural networks (PINN) solution for 1D burger equation using pytorch.
Physics Informed Neural Networks (PINN) solution for 1D wave equation using Nvidia module.
A Physically Informed Neural Networks (PINN) solution to the cavity flow problem using the Nvidia module.
A physically informed neural network (PINN) solution to the 2D heat sink flow problem using the Nvidia module.

If you have no previous experience in machine learning or computational engineering, that’s okay. This course is comprehensive and concise and covers the fundamentals of Machine Learning/Physically Based Neural Networks (PINN). Let’s enjoy learning Nvidia module together.