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resnet50.tensorflow model

https://github.com/mlperf/training/tree/master/image_classification; https://github.com/tensorflow/models/tree/master/official/resnet


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@misc{https_github_com_mlperf_training_tree_ma_2019_2535873,
  author       = {https://github.com/mlperf/training/tree/master/image\_classification and
                  https://github.com/tensorflow/models/tree/master/official/resnet},
  title        = {resnet50.tensorflow model},
  month        = jan,
  year         = 2019,
  note         = {{To re-create the model, train https://github.com/m 
                   lperf/training/tree/master/image\_classification or
                   https://github.com/tensorflow/models/tree/master/o
                   fficial/resnet. Make sure the data format is NHWC.
                   That re-export the model with batch\_size=-1 (there
                   is a script in https://github.com/mlperf/inference
                   /cloud/image\_classification/tools). Create a
                   frozen model tensorflow model from the exported
                   saved\_model.}},
  publisher    = {Zenodo},
  version      = {0.1},
  doi          = {10.5281/zenodo.2535873},
  url          = {https://doi.org/10.5281/zenodo.2535873}
}
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