<commit_before>## ImageNet classification

Trains a ResNet50 model ([He *et al.*, 2015]) for the ImageNet classification task
([Russakovsky *et al.*, 2015]).

This example uses linear learning rate warmup and cosine learning rate schedule.

[He *et al.*, 2015]: https://www.cv-foundation.org/openaccess/content_iccv_2015/papers/He_Delving_Deep_into_ICCV_2015_paper.pdf
[Russakovsky *et al.*, 2015]: https://arxiv.org/pdf/1409.0575.pdf

You can run this code and even modify it directly in Google Colab, no
installation required:

https://colab.research.google.com/github/google/flax/blob/master/examples/imagenet/imagenet.ipynb
<commit_msg>Fix citations<commit_after>## ImageNet classification

Trains a ResNet50 model ([He *et al.*, 2016]) for the ImageNet classification task
([Russakovsky *et al.*, 2015]).

This example uses linear learning rate warmup and cosine learning rate schedule.

[He *et al.*, 2016]: https://arxiv.org/abs/1512.03385
[Russakovsky *et al.*, 2015]: https://arxiv.org/abs/1409.0575

You can run this code and even modify it directly in Google Colab, no
installation required:

https://colab.research.google.com/github/google/flax/blob/master/examples/imagenet/imagenet.ipynb

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{'dir': 'git-commits-cleaned', 'id': '4122023', 'n_tokens_mistral': 452, 'n_tokens_neox': 372, 'n_words': 119}