Udemy – PINNs with NVIDIA Modulus 2024-3 – Downloadly

Description

PINNs with NVIDIA Modulus Course. This is an introductory course that will prepare you to work with physics-based neural networks (PINN) using the NVIDIA Modulus. We will cover the fundamentals of solving partial differential equations (PDEs) using physics-based neural networks (PINNs) from the basics through MARCH to solving PINNs using the Nvidia Modulus. 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 (e.g. the NS equations in Nvidia Modulus).

We will cover:

Pytorch basics.
How to deploy Nvidia Modulus on your PC GPU and in Google Collab.
Physically informed neural networks (PINN) solution for the 1D Burger equation using Pytorch.
Physics Informed Neural Networks (PINN) solution for the 1D wave equation using the 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 for the 2D heatsink flow problem using the Nvidia module.

If you don’t have any experience in machine learning or computational engineering, that’s not a problem. This course is comprehensive and concise and covers the fundamentals of machine learning/Physically Based Neural Networks (PINN). Let’s learn the Nvidia module together.