Hi everyone.
I have to create a model which is to be trained online (after a batch of data is collected) and get the loss error for that batch of training.
I was saving the model after each batch of training and outputting the loss error for that batch, before reloading the model again for next batch of training. This seems very inefficient to me and I think there should be a better method to do so.
Anyone has any pointers for me?
Thanks in advance!