I am new to Deep learning. I want to understand when it is a good time to stop training and the tweaks that should be made. Thank you.
So do we tweak the network to be less complex (eg reduce the layers, neurons), or reduce the epoch?
Does this mean we are over-fitting? Do we increase the epoch until the val_loss and loss are almost the same?