FAQ

If you have any questions about DeepXDE, first read the papers/slides and watch the video at the DeepXDE homepage and also check the following list of frequently asked DeepXDE questions. To get further help, you can open a discussion in the GitHub Discussions.

General usage

  • Q: DeepXDE failed to run.
    A: #5
  • Q: By default, DeepXDE uses float32. How can I use float64?
    A: #28
  • Q: I want to set the global random seeds.
    A: #353
  • Q: GPU.
    A: #464
  • Q: How can I use a trained model for new predictions?
  • Q: How can I save a trained model and then load the model later?
  • Q: More details about DeepXDE source code, and want to modify DeepXDE.
    A: #68, #346

PINN

DeepONet

  • Q:
    A:

Multi-fidelity NN

  • Q: How is MFNN trained?
    A: #94, #450
  • Q: Transfer learning of MFNN.
    A: #195
  • Q: How can I use a trained model for new predictions?
    A: #324