# Can I train a neural network incrementally given new daily data?

I would like to know if it was possible to train a neural network on daily new data. Let me explain this more in detail. Let's say you have daily data from 2010 to 2019. You train your NN on all of it, but, from now on, every day in 2019 you get new data. Is it possible to "append" the training of the NN or do we need to retrain an entire NN with the data from $$2010$$ to $$2019+n$$ with $$n$$ the day for every new day?

I don't know if it is relevant but my work is on binary classification.

• There is a similar question here, but it focuses on the case where new classes are introduced later.
– nbro
Nov 10, 2020 at 10:26