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Reviews 12

Average rating 5.0

Completed 73% of course

I was very curious about PINN after hearing about keywords in the field, but there weren't many related materials, and there weren't any Korean courses that explained it systematically. However, I found a lecture that explains the key points in a short period of time so that I could easily understand the concepts. If you open an advanced additional PINN lecture that covers more complex real-world problems, I will 100% take it. ㅎㅎ Even if you search for PINN YouTube, etc., most of the case studies are about simple physics problems that would appear on undergraduate mechanical engineering exams, so they can't be applied to the field. For example, if you solve cases of real-world problems such as 3D CFD problems, weather forecast image prediction, and collisions or behaviors of 3D mechanical systems at the code level in an advanced lecture, it would be very helpful for applying to the field. Of course, I highly recommend the current lecture as well. ^^

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dlbro
Instructor

Thank you so much for your review. If you have any questions, please feel free to ask!!

Advanced course: Batteries/lifespan? Create one? Code focus preferred.

Deep Learning Next Generation Innovation Technology - Introduction to Physical Information Neural Networks and Pytorch Practice thumbnail
dlbro

·

19 lectures

·

167 students

Deep Learning Next Generation Innovation Technology - Introduction to Physical Information Neural Networks and Pytorch Practice thumbnail
dlbro

·

19 lectures

·

167 students