Comments (1)
@lihangshiwo thanks for the question. PINNs do not need labelled data for training, all you need to specify are 1) the initial/boundary conditions (when defining the boundary loss), 2) the PDE you want to solve (when defining the PDE loss) 3) collocation coordinates in the domain used for sampling the PINN loss over. If you want to solve an inverse problem with PINNs, then you can incorporate labelled training data (observations of the PDE solution) - example code for solving inverse problems is in the fbpinns/examples
folder
from fbpinns.
Related Issues (10)
- Am I too late? HOT 2
- some confusion about unormalization HOT 1
- Running Error HOT 3
- Modifiying the wave 3D Problem HOT 4
- running error HOT 1
- Wavefield "c" Value HOT 1
- Environment Setting HOT 1
- Empty gradient when the dim of u is 2 HOT 1
- Run Error, need help! HOT 8
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from fbpinns.