loadModelWithoutWeightsInitAndEvaluate
fun loadModelWithoutWeightsInitAndEvaluate()
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This examples demonstrates the weird inference case:
Weights are not loaded, but initialized via initialized defined in configuration, configuration is loaded from .json file.
Model is evaluated after loading to obtain accuracy value.
No additional training.
No new layers are added.
NOTE: Model and weights are resources in examples
module.