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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.
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/
Image Classification, resnet50, tensorflow, Inference, Imagenet2012, Inference, Pretrained Model
Image Classification, resnet50, tensorflow, Inference, Imagenet2012, Inference, Pretrained Model
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| downloads | 4K |

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