resnet50copyModelPrediction
fun resnet50copyModelPrediction()
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This examples demonstrates the inference concept on ResNet'50 model:
Model configuration, model weights and labels are obtained from TFModelHub.
Weights are loaded from .h5 file, configuration is loaded from .json file.
Model predicts on a few images located in resources.
No additional training.
No new layers are added.
Special preprocessing (used in ResNet'50 during training on ImageNet dataset) is applied to images before prediction.
Model copied and used for prediction.