How to increasing Number of epoch in keras Conv Net
Simply call model.fit(data, target, epochs=100, batch_size=batch_size) again to carry on training the same model. model needs to be the same model object as in the initial training, not re-compiled.
Suppose, I have a model that is already trained with 100 epoch. I tested the model with test data and the performance is not satisfactory. So I decide to train for another 100 epoch. How can I do that?
I trained with 
model.fit(data, target, epochs=100, batch_size=batch_size)
Now I want to train the same model without adding new data for another 100 epoch. How can I do that?