Model Checkpoint

[ryan.w....@gmail.com]

I am using the master branch of keras version 1.0.6 and just recently I noticed that when using

model_checkpoint = ModelCheckpoint('test.hdf5', monitor='loss', save_best_only=True,save_weights_only=False)

and using model_checkpoint as a callback, it is not writing the layers in output file ever.

My hdf5 file only contains -- [u'keras_version', u'model_config', u'training_config']

This use to work until I updated in the last few days.

Any thoughts?

[ryan.w....@gmail.com]

The reason I ask is because I try to load the model later to restart from I get 

KeyError: "Can't open attribute (Can't locate attribute: 'layer_names')"

[Jack Hessel]

If I recall correctly, I think that this happens when you save a model from one version of Keras and try to load it in another. I guess the model serialization changed?

[François Chollet]

To revert to the old behavior, use save_weights_only=True when creating the callback.

Otherwise, you can load your new save files with keras.models.load_model(fpath).

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[ryan.w....@gmail.com]

Thanks for the quick reply this works.