Deep Learning Approach to Partial Differential Equations | Leah Bar, OriginAI (PyData TLV June22)

We present an unsupervised deep-learning approach for the solution of partial differential equations.
The proposed framework is very general, where boundary conditions and other regularizations can be easily integrated
in the loss function. The method is demonstrated on the eigenvalue problem and Electrical Impedance Tomgraphy application.

[suyeshkumar]

impressive work! i hope to do stuff like this one day :))

[TerragonCFD]

Very interesting, thank you Leah Bar! 🙂

[fadoobaba]

How do we get thee random sample points? Usually these are not available.