New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Create how-to guide for custom layers #2304
Labels
Comments
Hi @ToucheSir, I am a beginner here. Can i work on this documentation issue? Thanks |
Any issue where it's not otherwise specified that someone is actively working on it is up for grabs. I would not say this is a "good first issue" (we have a label for those), but I wouldn't discourage anyone from giving it a shot. |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Motivation and description
This has come up a couple of times now. Currently the relevant documentation isn't hidden, but it takes a few more steps to get there than it probably ought to. It also lacks some more unifying and advanced examples.
Possible Implementation
The baseline is to use what we currently have on the section on the layers page. Then we should layer on
trainable
and a couple more complex examples. Finally, we should show how all this works for nested models through integration with the rest of Flux functionality (e.g. Optimisers). Somewhere in there should also be a hint to check ot the built-in layers first so people aren't inadvertently reinventing the wheel.The text was updated successfully, but these errors were encountered: