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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

  • 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/
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.
Files (102.6 MB)
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resnet50_v1.pb
md5:7b94a2da05dd30f6c0af23a46bc08886
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