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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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<?xml version='1.0' encoding='utf-8'?>
<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:creator>https://github.com/mlperf/training/tree/master/image_classification</dc:creator>
  <dc:creator>https://github.com/tensorflow/models/tree/master/official/resnet</dc:creator>
  <dc:date>2019-01-08</dc:date>
  <dc:description>
	Application: Image Classification
	ML Task: ResNet-50
	Framework: tensorflow
	Training Information: 
	Quality: 76.53%
	Precision: fp32
	Is Quantized: no
	Is ONNX: no
	Dataset: http://www.image-net.org/challenges/LSVRC/2012/
</dc:description>
  <dc:description>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.
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.</dc:description>
  <dc:identifier>https://zenodo.org/record/2535873</dc:identifier>
  <dc:identifier>10.5281/zenodo.2535873</dc:identifier>
  <dc:identifier>oai:zenodo.org:2535873</dc:identifier>
  <dc:relation>doi:10.5281/zenodo.2535872</dc:relation>
  <dc:relation>url:https://zenodo.org/communities/mlperf</dc:relation>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>https://opensource.org/licenses/Apache-2.0</dc:rights>
  <dc:subject>Image Classification, resnet50, tensorflow, Inference, Imagenet2012, Inference, Pretrained Model</dc:subject>
  <dc:title>resnet50.tensorflow model</dc:title>
  <dc:type>info:eu-repo/semantics/other</dc:type>
  <dc:type>other</dc:type>
</oai_dc:dc>
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