Skip to content
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

Fixed Broken links #1408

Merged
merged 1 commit into from
Jun 28, 2023
Merged
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
4 changes: 2 additions & 2 deletions guides/md/training_with_built_in_methods.md
Original file line number Diff line number Diff line change
Expand Up @@ -29,11 +29,11 @@ when using built-in APIs for training & validation (such as `Model.fit()`,

If you are interested in leveraging `fit()` while specifying your
own training step function, see the
[Customizing what happens in `fit()` guide](/guides/customizing_what_happens_in_fit/).
[Customizing what happens in `fit()` guide](https://keras.io/guides/customizing_what_happens_in_fit/).

If you are interested in writing your own training & evaluation loops from
scratch, see the guide
["writing a training loop from scratch"](/guides/writing_a_training_loop_from_scratch/).
["writing a training loop from scratch"](https://keras.io/guides/writing_a_training_loop_from_scratch/).

In general, whether you are using built-in loops or writing your own, model training &
evaluation works strictly in the same way across every kind of Keras model --
Expand Down