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Commits on Feb 23, 2019

• channels_first

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  yashk2810

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Commits on Feb 22, 2019

• Shifting to resize_image_with_crop_or_pad. Also shifting to channels_last to test if V100 is faster with that.

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  yashk2810

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• Adding more data augmentation and using SGD optimizer with nesterov momentum.

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• Removing some transforms so that NOOP warnings are not shown.

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• Adding kwargs so that the benchmark framework won't return errors when extras is empty.

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  yashk2810

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• switching to channels_first

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  yashk2810

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• Adding data augmentation

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Commits on Feb 21, 2019

• Model running for 300 epochs with depth = 100 and k = 12. Also adding the regularization losses to custom training loops.

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  yashk2810

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  MarkDaoust

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• Fixing logging

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• Changing the metric name to match compile.

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• Densenet benchmark

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• Internal change

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Commits on Feb 20, 2019

• Adding a warmup epoch to get accurate benchmarks

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  yashk2810

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Commits on Feb 19, 2019

• Merge pull request tensorflow#6 from raskutti:master

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• Dcgan benchmark

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• Move deploy section to examples/community.

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• Using class so that there is no need of using global train_step

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• Update template.

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• Move attributions.

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• Add license, format as per template

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  raskutti

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• Update with new image of eminem

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• Add files via upload

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• Add files via upload

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• Add new eminem_fractal

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• Delete file, wrong file name

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• Add new eminem_fractal

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• Delete original eminem_fractal

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• Add template

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Commits on Feb 16, 2019

• add setup.py

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Commits on Feb 15, 2019

• pix2pix example

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  yashk2810

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• Add neural style transfer tutorial

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• Add images to neural_style_transfer folder

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Commits on Feb 14, 2019

• Merge pull request tensorflow#5 from lamberta:community-en

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Commits on Feb 13, 2019

• Merge pull request tensorflow#4 from GitHub30:fix-external-links

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• Update __init__.py

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