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Code Walkthrough for PINNs in Burgers Equation

Offered By: NPTEL-NOC IITM via YouTube

Tags

Physics Informed Neural Networks Courses Machine Learning Courses Neural Networks Courses TensorFlow Courses Computational Fluid Dynamics Courses Scientific Computing Courses Numerical Methods Courses Partial Differential Equations Courses

Course Description

Overview

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Explore a detailed code walkthrough demonstrating the implementation of Physics-Informed Neural Networks (PINNs) for solving the Burgers equation. Gain insights into the practical application of PINNs in computational fluid dynamics and learn how to leverage machine learning techniques to solve complex partial differential equations. Follow along as the instructor breaks down the code structure, explains key components, and highlights important considerations for successfully applying PINNs to the Burgers equation.

Syllabus

Code walkthrough for PINNs in Burgers equation


Taught by

NPTEL-NOC IITM

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