I was wondering what you would recommend on how to do retraining/relearning of an already trained network?
So I have implemented a neural network (config doesnt matter for now) to predict time series. And now I am struggling when it comes to retraining/relearning. The neural net predicts data for a whole week and I would like to retrain weekly as soon as new data for the past week is available.
Is it a good idea to just call net.fit(….) with the new data and with same number of epochs as the inital training was done?
Or should I discard the whole training and train the network from scratch with all the old and the new data?
Thanks in advance for answering