I have two losses L1 and L2. I train model by giving single image at a time. For some image, both the losses converge towards 0 but for some image L1 converge to significant value but L2 loss not decreasing after some epochs.
After increasing dataset, problem remains to those images for which L2 loss not decreasing. I work around for different learning rate and dense layer but problem still persist.
Which parameters should i need to try to reduce both the losses?