PINNs for Inverse Problems in Scientific Computing
Offered By: NPTEL-NOC IITM via YouTube
Course Description
Overview
Explore the application of Physics-Informed Neural Networks (PINNs) in solving inverse problems through this informative 30-minute lecture. Gain insights into how PINNs can be leveraged to tackle complex inverse problems in various scientific and engineering domains. Delve into the fundamental concepts, methodologies, and practical implementations of PINNs for inverse problem-solving, presented by experts from NPTEL-NOC IITM.
Syllabus
PINNs for inverse problems
Taught by
NPTEL-NOC IITM
Related Courses
Scientific ComputingUniversity of Washington via Coursera Biology Meets Programming: Bioinformatics for Beginners
University of California, San Diego via Coursera High Performance Scientific Computing
University of Washington via Coursera Practical Numerical Methods with Python
George Washington University via Independent Julia Scientific Programming
University of Cape Town via Coursera