If you're a deep learning research looking for an introduction to what TF 2.0 has to offer, check out this notebook guide I made in October.https://colab.research.google.com/drive/1UCJt8EYjlzCs1H1d1X0iDGYJsHKwu-NO …
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Is there a clean way to add regularization losses to layers of prebuilt models like say keras_applictions models?
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Not very clean but works: model.get_layer('layername').kernel_regularizer=l2() http://model.save ('model.h5') model = load_model('model.h5')
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