How to reach streaming learning in Neural network?
There is no some special function for it in TensorFlow. You make a single training pass over a new chunk of data. And then another training pass over another new chunk of data, etc till you reach the end of the data stream (which, hopefully, will never happen).
As title, I know there're some model supporting streaming learning like classification model. And the model has function partial_fit()
Now I'm studying regression model like SVR and RF regressor...etc in scikit.
But most of regression models doesn't support partial_fit .
So I want to reach the same effect in neural network. If in tensorflow, how to do like that? Is there any keyword?