efficientNetB0AdditionalTraining

This examples demonstrates the transfer learning concept on EfficientNetB0 model:

• Model configuration, model weights and labels are obtained from ONNXModelHub.

• All layers, excluding the last Dense, are added to the new Neural Network, its weights are frozen.

• ONNX frozen model is used as a preprocessing stage via onnx stage of the Image Preprocessing DSL.

• New Dense layers are added and initialized via defined initializers.

• Model is re-trained on dogsCatsDatasetPath dataset.

We use the Preprocessing DSL to describe the dataset generation pipeline. We demonstrate the workflow on the subset of Kaggle Cats vs Dogs binary classification dataset.