Physics Informed Neural Networks

Поділитися
Вставка
  • Опубліковано 31 лип 2021
  • A basic introduction to PINNs, or Physics Informed Neural Networks

КОМЕНТАРІ • 27

  • @behzadranjbar242
    @behzadranjbar242 2 роки тому

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

  • @Spiegeldondi
    @Spiegeldondi 2 роки тому

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

  • @ilyabychkov1166
    @ilyabychkov1166 2 роки тому

    Thank you! Perfectly explained!

  • @firemario876
    @firemario876 2 роки тому

    Thanks for posting this, what a great explanation!

  • @himanshugaur9764
    @himanshugaur9764 9 місяців тому

    Thank you. Very clear explanation !!

  • @RaviVarma-fo5wm
    @RaviVarma-fo5wm Рік тому +5

    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?

  • @onlyhuman5669
    @onlyhuman5669 Рік тому

    So clearly explained!

  • @saremnoroozi4740
    @saremnoroozi4740 Рік тому

    Excellent explanation!

  • @qwm1007
    @qwm1007 11 місяців тому

    Thank you for your clear explanation

  • @Moonfrog11
    @Moonfrog11 2 роки тому

    Well explained, thanks

  • @DanielClark-tl5wt
    @DanielClark-tl5wt 3 місяці тому

    Awesome video, thanks

  • @shankyxyz
    @shankyxyz 9 місяців тому +2

    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?

  • @user-bb6lf4cs3c
    @user-bb6lf4cs3c 2 роки тому +1

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

  • @neerajdoneria9127
    @neerajdoneria9127 2 роки тому +1

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

  • @aidaralimbayev993
    @aidaralimbayev993 2 роки тому

    Thanks a lot!

  • @vedantgupta6734
    @vedantgupta6734 2 роки тому

    Nice terse explanation!

  • @muhammadidrees5218
    @muhammadidrees5218 2 роки тому

    Thanks for sharing

  • @abhraboral_educator
    @abhraboral_educator 2 роки тому

    HOW ARE THE COLLOCATION POINTS TAKEN

  • @nimra4257
    @nimra4257 3 місяці тому

    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.

  • @blr22
    @blr22 4 місяці тому

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

  • @turugasairam2886
    @turugasairam2886 Рік тому

    great talk

  • @harenderkumar3811
    @harenderkumar3811 2 роки тому

    Great

  • @Weikun-jz2tl
    @Weikun-jz2tl 2 роки тому

    Thanks

  • @alexandren.9346
    @alexandren.9346 2 роки тому

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

    • @abruptcall
      @abruptcall 2 роки тому +1

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

  • @douradesh
    @douradesh Рік тому

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

  • @nkumarmits
    @nkumarmits 2 роки тому

    Do you have LinkedIn profile? please connect