Thank you very much. Excellent explanation and understanding of PINNs.

Thank you for the simple explanation. At 15:16, is the BC fit term correct? I think it should be [y_hat(1) - y1]^2 in the second term, for x=1?

very structured explanation! makes it easy to grasp the essential concepts!

Thank you! Perfectly explained!

Thanks for posting this, what a great explanation!

So clearly explained!

Thank you. Very clear explanation !!

Excellent explanation!

Thank you for your clear explanation

Well explained, thanks

interesting but I am truly confused about the ability to solve PDEs. without the accompanying function spaces (sobolev spaces etc) not sure how this is to be taken. it will need extensive explanation of the sobolev space approximation and convergence of solutions theory to be developed. anyways nice explanation. Are you Gautam Kapila from 2002 krec batch?

Awesome video, thanks

Thanks a lot!

Well explain. Can you plz post any video on hands on building a model with PINN in python.

@GautamKapila Do you have an example of notebook using PINN?

Thanks for sharing

great talk

Good presentation on the subject, Gautam. Are you doing more videos or do you have a suggested playlist on the subject?

Nice terse explanation!

Great

Thanks

HOW ARE THE COLLOCATION POINTS TAKEN

Thabk you for the explanation, but there are many loop holes in the video. In cade of ODE and PDE you have not explained what will be the input , will it be discrete values ? You have not explained the difference between solving an ODE / PDE with PINN and DNN.

I still don't understand what theta stands for. Can someone help?

@abruptcall

2 жыл бұрын

a vector of the parameters (i.e. weights) of the NN

Do you have LinkedIn profile? please connect

would you like to help me solve a inverse heat transfer problem using PINN? send me a message, please