additionalTrainingAndPartialFreezingAndPartialInitialization
fun additionalTrainingAndPartialFreezingAndPartialInitialization()
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This examples demonstrates the transfer learning concept:
Weights are loaded from .h5 file for a pre-filtered list of layers (Conv2D only), configuration is loaded from .json file.
Conv2D layer are added to the new Neural Network, its weights are frozen, Dense layers are added too and its weights are initialized via defined initializers.
No new layers are added.
NOTE: Model and weights are resources in examples module.