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Hi @NDDAvid123, Thank you! I’m glad you found the video helpful for learning PINNs. Feel free to spread the word, and stay tuned for more content on this topic!
Hi @MOTIVAO, Thank you so much! I’m really glad you’re enjoying the videos on PINNs. Your support means a lot, and I’ll definitely keep working on more content. Stay tuned for future tutorials!
It's the great video on PINNS. I will really appreciate if you can share the jupyter notebook used as it will help me in practicing code myself, further strengthening my concept on punns. THANKS IN ADVANCE...
Hi @rakesh-do1hw, thank you for the kind words! 😊 I’m glad you enjoyed the video. Our source codes are completely free of cost. You can download the Jupyter notebook and source code by following the instructions given in the below link. To download the source codes, you’ll need to complete a small quiz-don’t worry, all the answers can be found in the video! Happy Learning. Link - www.elastropy.com/more/unlock-free-source-codes
Hi @rituparnsingh6554, we use TensorFlow 2.x for these codes. If you install via pip install, it will automatically install TensorFlow 2.x by default. 😊
Join our Telegram group for exclusive access to detailed discussions, resources, programming files used in the video, and extra support! It's all free-click the link below to join now. See you there!
Telegram Group Link - telegram.me/elastropy_official
Excellent video for learning PINNs
Hi @NDDAvid123, Thank you! I’m glad you found the video helpful for learning PINNs. Feel free to spread the word, and stay tuned for more content on this topic!
Great videos on PINNS, keep up the great work
Hi @MOTIVAO, Thank you so much! I’m really glad you’re enjoying the videos on PINNs. Your support means a lot, and I’ll definitely keep working on more content. Stay tuned for future tutorials!
Please make videos on fuzzy logic and neural network. Your content is really helpful.
Please solve coupled nonlinear system of odes using pinns
Thanks
Hi @lysaait1711, you are welcome.
Please share notebook link
It's the great video on PINNS. I will really appreciate if you can share the jupyter notebook used as it will help me in practicing code myself, further strengthening my concept on punns. THANKS IN ADVANCE...
Hi @rakesh-do1hw, thank you for the kind words! 😊 I’m glad you enjoyed the video. Our source codes are completely free of cost. You can download the Jupyter notebook and source code by following the instructions given in the below link. To download the source codes, you’ll need to complete a small quiz-don’t worry, all the answers can be found in the video! Happy Learning.
Link - www.elastropy.com/more/unlock-free-source-codes
Thanks for sharing, can u tell us how to solve ODEs with uncertain eigenvalues, for example, y'' + λ*y = 0 with BCs: y(0) = y(2π)=0?
Great explanation! Could you share the code please?
What is means here 0:1 and 1:2 in x=output [:,0:1] , y=output[:,1:2]
Hi @patelpavan5479, could you please send me the time stamp in the video, at which you saw these?? Also, could you please elaborate your doubt?
@@elastropy15:20
Hi @patelpavan5479, thanks for the timestamp. I did it this way to preserve the 2D array shape for consistency in tensor operations.
@@elastropy ok
Please makenthis on SDE please
Hi @rajibali4643, did you mean Stochastic Differential Equations for SDE??
Are we using Tensorflow1.x or 2.x for these codes? I am guessing its the former?
Hi @rituparnsingh6554, we use TensorFlow 2.x for these codes. If you install via pip install, it will automatically install TensorFlow 2.x by default. 😊