How to update/append new data to my model without starting to retrain from scratch? My dataset are images and the output is to predict emotion.
model.fit(x=train_image, y=train_label, epochs=1, batch_size=1)
Model.fit seems not appending my new data but overwriting the model. My output is only one (the last one that I updated).
I've already search for this but doesn't work as well.
Edit 1: What can we do when we lose our previously trained data. In simple words we lose our training data just after the training is completed and we can not get the data back again, just the thing we have to retain is the learning done from it and also retrain the model when we receive new data.