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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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    "description": "<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>", 
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    "title": "resnet50.tensorflow model", 
    "notes": "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.", 
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Views 2,5182,522
Downloads 25,90925,909
Data volume 2.7 TB2.7 TB
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