How to partial training on the additional data for pre-trained model?
Yes, that is correct you will train only on the new dataset (10k) model.fit(10K_data). I will recommend to change the learning rate for the retraining (reducing the learning rate) as you will just want to do a minor update to the parameters while keeping the earlier learning intact (or trying to leavarage the earlier learning).
In my case, I would like to weekly tune/adjust the model parameters value.
I have pre-trained the model by using the 100K data rows, Keras, and saved the model.
Then, as the new data collection (10K data rows), I need to tune the model parameter but don't want to retrain the whole dataset (110K).
How can I just partially fit the data on the model? load model -> model.fit(10K_data)?