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AI Technologies for Solving Ordinary Differential Equations

Original price was: $20.00.Current price is: $5.00.

Description

Published 1/2026
Created by Dr.Mohammad Samara
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 30 Lectures ( 6h 14m ) | Size: 13.1 GB

Solve ODEs using PINNs, Inv-PINNs, and Deep Neural Operator

What you’ll learn
✓ Understand the Theory behind ODEs equations solvers.
✓ Build Analytical based ODEs solver.
✓ Build PINNs, Inv-PINNs, and DNO for ODE solver.
✓ Understand the Theory behind PINNs, Inv-PINNs, and DNO for ODEs solvers.

Requirements
● High School Math
● Basic Python knowledge

Description
Description

This is a complete course that will prepare you to solve Ordinary Differential Equations (ODEs) using Physics-Informed Neural Networks (PINNs), Inverse Physics-Informed Neural Networks (Inv-PINNs), and Deep Neural Operator (DNO) We will cover the fundamentals of Solving Ordinary Differential Equations (ODEs) and how to prepare these equations for solving them using PINNs, Inv-PINNs, and DNO.

What skills will you Learn

In this course, you will learn the following skills

• Understand the General Math behind Ordinary Differential Equations (ODEs) .

• Write and build Algorithms from scratch to sole the Ordinary Differential Equations using Traditional methods.

• Understand the Math behind PINNs, Inv-PINNs, and DNO.

• Write and build Machine Learning Algorithms to solve PINNs, Inv-PINNs, and DNO using Pytorch.

• Postprocess the results.

• Compare the results acquired from traditional methods and PINNs related tech.

• Use opensource libraries.

We will cover

• Pytoch Basics.

• Apply Solving ODEs Analytical solutions using Python.

• Solving ODEs Using PINNs for the Damped Harmonic Oscillator.

• Acquire an important related parameter Using Inverse-PINNs for the Damped Harmonic Oscillator.

• Predicting an output curve Using Deep Neural Operator (DNO).

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/ Ordinary Differential Equations (ODEs) / Physics-Informed Neural Networks (PINNs)/ Inverse Physics-Informed Neural Networks (Inv-PINNs)/ and Deep Neural Operator (DNO).

Let’s enjoy Learning PINNs together…

Who this course is for
■ Engineers and Programmers whom want to Learn PINNs, Inv-PINNs, and DNO For Ordinary Differential Equations

Homepage
https://anonymz.com/?https://www.udemy.com/course/pinns-tech-for-ordinary-differential-equations/
Shipping & Delivery

DIGITAL DELIVERY ONLY

 

 

This is digital product  THE DOWNLOAD LINK SEND 12-24 HOURS AFTER UPON PURSUASE AND PAYMENT CLEARS"

  • The digital files are uploaded on PCLOUD
  • 12-24 hours delivery time
  • the download links expire after 7 days and need to download them
  • to renew the download link after expiration have one additional fee $5 per product

 

REQUESTS

 

Also we accept requests  and course exchanges

In Course exchanges we are sending credits only

The credits will be the same price as we can sell course

 

"REFUNDS & RETURNS"

No Refunds on digital product

ONLY EXCHANGE

  • Because of the abuse of the refunds from many customers i don't accept refunds
  • We accept only 1 time exchange with product of the same price
  • if you done mistake on the exchangeable product i don't recognize it as your mistake
  • Exchanges only 3 days after the payment of your digital product. (if abused again i will do it 1 day)