Fix errors and modernize keras and jax_nn lectures#302
Merged
Conversation
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
✅ Deploy Preview for incomparable-parfait-2417f8 ready!
To edit notification comments on pull requests, go to your Netlify project configuration. |
Contributor
Author
|
@mmcky please review and make live when ready. Thanks! |
Contributor
|
Reviewed — all changes look correct. Fixed the CI error: |
Contributor
|
thanks @jstac. Merging this now. |
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
Summary
kerasandjax_nnneural network lecturesChanges
keras.mdseed=1234), so "validation" was evaluating on identical data. Changed toseed=5678np.random.seed/np.random.randnwith modernnp.random.default_rng/rng.standard_normalAPI##(h2) but should be###(h3) under the "Models" h2, matching its sibling "Deep Network"plot_resultsKERAS_BACKENDfromjax_nn.mdto here, where the backend is first introducedjax_nn.mdjnp.ndarraywithjax.Arraythroughoutf"Training NN using Keras."→"Training NN using Keras."plot_jax_outputto replace three identical scatter+line plot blocks; placed afterfandloss_fndefinitions so it follows its dependenciesplot_keras_output: removed unusedx, yparameterskeras.mdwhere it belongsTest plan
keras.mdto Python via jupytext and ran successfully🤖 Generated with Claude Code