This question is basically an extension of the issue raised in the Github forum of the keras repository:
https://github.com/keras-team/keras/issues/4446
The question was whether it is possible to fit() a keras model multiple times (e.g. due to a very large training set).
An alternative would be to train on batches, but let's stick to the above mentioned case.
If I would train such a model and retrieve the history after the last iteration of the loop, would it be the history of the last fit() iteration or a history over all fits (e.g. a mean of the losses at each epoch)?
Thank you in advance for your answers!