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As the header already tells, I used the Xception model as a base model. On top of it I inlcuded two separate output layers.
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The model takes one input and trains all output layers at the same time.
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This script was motivated by:
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- https://www.pyimagesearch.com/2018/06/04/keras-multiple-outputs-and-multiple-losses/
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- https://www.kaggle.com/abnera/transfer-learning-keras-xception-cnn?scriptVersionId=818701

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