Sequential models in DeepXDE #1647
Unanswered
dang-trinh156
asked this question in
Q&A
Replies: 1 comment
-
|
No. Then you need to implement the network by yourself. |
Beta Was this translation helpful? Give feedback.
0 replies
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Uh oh!
There was an error while loading. Please reload this page.
-
Dear Dr.Lulu and developer team and users,

I've scanned through the FAQ and search on this discussion session. All what I can find is this post:#1488.
Also, I've read the source code in Geometry, icbc, PDE, and they're all implemented on 2D-arrays (i.e. [batch_size or n_data, spatial-temporal features]). Here's an example:
The error function returns an array/tensor in 2D. Therefore, only FCNN architectures are used.
Question:
Have there been any examples, or snippets of code about the implementation of 3D inputs (i.e. [batch_size, sequence length, features]) for sequential models?
Thank you in advance!
Beta Was this translation helpful? Give feedback.
All reactions