I’m training a basic VGG network on a vision dataset of 48x48 images. I run the same script multiple times to report the average but some runs randomly don’t converge. Meaning sometimes classification accuracy doesn’t increase and loss doesn’t decrease. This happens randomly (e.g. 1 run out of 5 runs). Where should I start to debug?! what are the possible culprits?