| view 👀:29 | 🙍 oneddl | redaktor: Baturi | Rating👍:

PINNs Using NVIDIA Modulus

PINNs Using NVIDIA Modulus
Free Download PINNs Using NVIDIA Modulus
Published 2/2024
Created by Dr.Mohammad Samara
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 49 Lectures ( 9h 7m ) | Size: 11.7 GB


Simulations with AI
What you'll learn:
Build PINNs based pdes solver.
Understand the Theory behind PINNs PDEs solvers.
Build models using NVIDIA Modulus
Deploy NVIDIA Modulus useing GoogleColab and your own NVIDIA GPU
Requirements:
High School Math
Basic Python knowledge
Description:
DescriptionThis is a introductory course that will prepare you to work with Physics-Informed Neural Networks (PINNs) using NVIDIA Modulus. We will cover the fundamentals of Solving partial differential equations (PDEs) using Physics-Informed Neural Networks (PINNs) from its basics and March towards solving PINNs with Nvidia modulus.What skills will you Learn:In this course, you will learn the following skills:Understand the Math behind solving partial differential equations (PDEs) with PINNs.Write and build Machine Learning Algorithms to solve PINNs using Pytorch.Write and build Machine Learning Algorithms to solve PINNs using Nvidia Modulus.Postprocess the results.Use opensource libraries.Define your own PDEs to solve them or use built in equations (such as the N.S equations in Nvidia Modulus).We will cover:Basics of Pytorch.How to deploy Nvidia Modulus on your own computer GPU and in Google Collab.Physics-Informed Neural Networks (PINNs) Solution for 1D Burgers Equation using pytorch.Physics-Informed Neural Networks (PINNs) Solution for 1D wave Equation using Nvidia modulus.Physics-Informed Neural Networks (PINNs) Solution for cavity flow problem using Nvidia modulus.Physics-Informed Neural Networks (PINNs) Solution for 2D heat sink flow problem using Nvidia modulus.If you do not have prior experience in Machine Learning or Computational Engineering, that's no problem. This course is complete and concise, covering the fundamentals of Machine Learning/ Physics-Informed Neural Networks (PINNs). Let's enjoy Learning Nvidia Modulus together.
Who this course is for:
Engineers and Programmers whom want to Learn PINNs
learn NVIDIA Modulus
Homepage
https://www.udemy.com/course/pinns-using-nvidia-modulus/







a98463b82f333ea...


PINNs Using NVIDIA Modulus Torrent Download , PINNs Using NVIDIA Modulus Watch Free Online , PINNs Using NVIDIA Modulus Download Online

⚠️ Dead Link ?
You may submit a re-upload request using the search feature. All requests are reviewed in accordance with our Content Policy.

Request Re-upload

In today's era of digital learning, access to high-quality educational resources has become more accessible than ever, with a plethora of platforms offering free download video courses in various disciplines. One of the most sought-after categories among learners is the skillshar free video editing course, which provides aspiring creators with the tools and techniques needed to master the art of video production. These courses cover everything from basic editing principles to advanced techniques, empowering individuals to unleash their creativity and produce professional-quality content.

📌🔥Contract Support Link FileHost🔥📌
✅💰Contract Email: [email protected]

Help Us Grow – Share, Support

We need your support to keep providing high-quality content and services. Here’s how you can help:

  1. Share Our Website on Social Media! 📱
    Spread the word by sharing our website on your social media profiles. The more people who know about us, the better we can serve you with even more premium content!
  2. Get a Premium Filehost Account from Website! 🚀
    Tired of slow download speeds and waiting times? Upgrade to a Premium Filehost Account for faster downloads and priority access. Your purchase helps us maintain the site and continue providing excellent service.

Thank you for your continued support! Together, we can grow and improve the site for everyone. 🌐

Comments (0)

Information
Users of Guests are not allowed to comment this publication.