For the UNSW-NB15 dataset i receive spikes in the loss function during training. The algorithms see part of this UNSW dataset a single time. Loss function is plotted after every batch. For other datasets I don't experience this problem. I've tried different optimizers and loss functions but this problem remains with this dataset.
I'm using the .fit_generator() function from keras. Is there anyone experience this problem using keras with this function ?
thanks in advance.