To save a model in Keras, what are the differences between the output files of:
- ModelCheckpoint() in the callback
The saved file from model.save() is larger than the model from model.save_weights(), but significantly larger than a JSON or Yaml model architecture file. Why is this?
Restating this: Why is size(model.save()) + size(something) = size(model.save_weights()) + size(model.to_json()), what is that "something"?
Would it be more efficient to just model.save_weights() and model.to_json(), and load from these than to just do model.save() and load_model()?
What are the differences?