Commits · 84a65a31d6edcdc7444d0358434b3d05e5b8505e · ModelZoo / ResNet50_tensorflow

02 Oct, 2021 1 commit
- Internal change · 84a65a31
  Jialu Liu authored Oct 02, 2021
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29 Sep, 2021 1 commit
- Internal change · 5470ed0e
  A. Unique TensorFlower authored Sep 29, 2021
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24 Sep, 2021 2 commits
- Internal change · 24b2ccd4
  Rebecca Chen authored Sep 23, 2021
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- Internal change · e5fbe328
  Rebecca Chen authored Sep 23, 2021
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22 Sep, 2021 2 commits
- Internal change · 350f4854
  Yuexin Wu authored Sep 22, 2021
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- Internal change · 390c7a93
  Jialu Liu authored Sep 22, 2021
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20 Sep, 2021 4 commits
- Internal change · 185a8535
  A. Unique TensorFlower authored Sep 20, 2021
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- Internal change · 3318370e
  A. Unique TensorFlower authored Sep 20, 2021
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- Publish new albert checkpoints and put tf-hub modules in the same format in pretrained_models.md. · 2af8ebcd
  Hongkun Yu authored Sep 19, 2021
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- Internal change · ded4700e
  Hongkun Yu authored Sep 19, 2021
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19 Sep, 2021 1 commit
- Update docs to use tf_model_garden GCS bucket · a4b919de
  Hongkun Yu authored Sep 19, 2021
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16 Sep, 2021 1 commit
- Internal change · bea8998b
  A. Unique TensorFlower authored Sep 16, 2021
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15 Sep, 2021 2 commits
- Internal change · 6b90e134
  Jialu Liu authored Sep 15, 2021
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- Internal change · 8b032e91
  Hongkun Yu authored Sep 14, 2021
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  8b032e91
12 Sep, 2021 1 commit
- Internal change · 4c0ae86b
  Hongkun Yu authored Sep 12, 2021
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  4c0ae86b
10 Sep, 2021 3 commits
- Internal change · fa211938
  A. Unique TensorFlower authored Sep 10, 2021
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- Internal change · b0707104
  A. Unique TensorFlower authored Sep 10, 2021
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- Internal change · c4314bb6
  A. Unique TensorFlower authored Sep 10, 2021
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09 Sep, 2021 1 commit
- Internal change · f8b7b77d
  Jialu Liu authored Sep 09, 2021
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07 Sep, 2021 1 commit
- Internal change · 18d62791
  Jialu Liu authored Sep 07, 2021
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31 Aug, 2021 1 commit
- Internal change · 164bab98
  A. Unique TensorFlower authored Aug 30, 2021
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27 Aug, 2021 3 commits
- Internal change · 7dcd3f6b
  Yuexin Wu authored Aug 27, 2021
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- Internal change · 50c2e475
  Hongkun Yu authored Aug 27, 2021
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- Internal change · 9b5bb26b
  A. Unique TensorFlower authored Aug 27, 2021
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25 Aug, 2021 4 commits
- Internal change · 6d28faff
  Hongkun Yu authored Aug 25, 2021
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- #TF-NLP #Funnel-Transformer Initial check-in of the Funnel Transformer framework. · 33598c45
  Yuexin Wu authored Aug 25, 2021
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The current Funnel-Transformer contains only the encoder part and uses 1D-MaxPool for query pooling.

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- Internal change · 288c1cff
  A. Unique TensorFlower authored Aug 25, 2021
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- Internal change · 0b098c60
  A. Unique TensorFlower authored Aug 25, 2021
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19 Aug, 2021 1 commit
- Internal change · 6de0c8e9
  A. Unique TensorFlower authored Aug 19, 2021
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18 Aug, 2021 1 commit
- Add a deprecation warning for networks.Classification. · 37536370
  Hongkun Yu authored Aug 17, 2021
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13 Aug, 2021 1 commit

[transformer] Add a flag to return intermediate outputs. This is needed to add... · 3db445c7

Frederick Liu authored Aug 12, 2021

[transformer] Add a flag to return intermediate outputs. This is needed to add auxiliary loss which has been shown helpful in "Character-Level Language Modeling with Deeper Self-Attention" and "End-to-End Object Detection with Transformers"

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3db445c7

11 Aug, 2021 2 commits
- Internal change · 40013f67
  A. Unique TensorFlower authored Aug 11, 2021
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- Internal change · d4bc6160
  Sagun Bajra authored Aug 11, 2021
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09 Aug, 2021 2 commits
- Internal change · a2c19be8
  A. Unique TensorFlower authored Aug 09, 2021
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- Add quantization friendly mobilebert transformer layer. · 3576cb4b
  A. Unique TensorFlower authored Aug 09, 2021
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04 Aug, 2021 2 commits
- [translation] Use only layer encoder decoder for testing. · dfa64e52
  Frederick Liu authored Aug 03, 2021
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- Internal change · 649a5944
  Le Hou authored Aug 03, 2021
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03 Aug, 2021 2 commits
- Internal change · 0bd9a8b2
  Le Hou authored Aug 03, 2021
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  0bd9a8b2
- Internal change · d7e2f581
  A. Unique TensorFlower authored Aug 02, 2021
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01 Aug, 2021 1 commit
- Internal change · 461b3587
  Hongkun Yu authored Aug 01, 2021
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  461b3587