This repository was archived by the owner on Apr 23, 2025. It is now read-only.
-
Notifications
You must be signed in to change notification settings - Fork 149
Conversation
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
BradLarson
reviewed
May 7, 2020
BradLarson
reviewed
May 7, 2020
BradLarson
reviewed
May 7, 2020
BradLarson
reviewed
May 7, 2020
BradLarson
reviewed
May 7, 2020
BradLarson
reviewed
May 7, 2020
Co-authored-by: Brad Larson <[email protected]>
Co-authored-by: Brad Larson <[email protected]>
BradLarson
approved these changes
May 7, 2020
pschuh
pushed a commit
to pschuh/swift-models
that referenced
this pull request
Dec 11, 2020
[swift-apis/tensorflow#497](tensorflow/swift-apis#497) removes deprecated apis, now that we are moving onward to v0.5. This PR updates the catch file which uses a deprecated dense layer.
Sign up for free
to subscribe to this conversation on GitHub.
Already have an account?
Sign in.
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Outdated suggestions cannot be applied.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.
Followup to #495
This PR convert the MNIST datasets to the Epochs API, while keeping the old ones that are used in Benchmarks, autoencoder and GAN examples. The next follow-up will convert Benchmarks to use the new CIFAR10 and new MNIST datasets, then I'll adapt the code of Autoencoders and GAN examples to be able to remove those OldFoo files.