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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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{
  "publisher": "Zenodo", 
  "DOI": "10.5281/zenodo.2535873", 
  "title": "resnet50.tensorflow model", 
  "issued": {
    "date-parts": [
      [
        2019, 
        1, 
        8
      ]
    ]
  }, 
  "abstract": "<ul>\n\t<li><strong>Application:&nbsp;</strong>Image Classification</li>\n\t<li><strong>ML Task:</strong>&nbsp;ResNet-50</li>\n\t<li><strong>Framework:</strong>&nbsp;tensorflow</li>\n\t<li><strong>Training Information:&nbsp;</strong></li>\n\t<li><strong>Quality:</strong>&nbsp;76.53%</li>\n\t<li><strong>Precision:</strong>&nbsp;fp32</li>\n\t<li><strong>Is Quantized:&nbsp;</strong>no</li>\n\t<li><strong>Is ONNX:&nbsp;</strong>no</li>\n\t<li><strong>Dataset:&nbsp;</strong>http://www.image-net.org/challenges/LSVRC/2012/</li>\n</ul>", 
  "author": [
    {
      "family": "https://github.com/mlperf/training/tree/master/image_classification"
    }, 
    {
      "family": "https://github.com/tensorflow/models/tree/master/official/resnet"
    }
  ], 
  "note": "To re-create the model, train https://github.com/mlperf/training/tree/master/image_classification or https://github.com/tensorflow/models/tree/master/official/resnet.\nMake sure the data format is NHWC.\nThat re-export the model with batch_size=-1 (there is a script in https://github.com/mlperf/inference/cloud/image_classification/tools).\nCreate a frozen model tensorflow model from the exported saved_model.", 
  "version": "0.1", 
  "type": "article", 
  "id": "2535873"
}
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