Inferences made while doing image classification

if batch size is high we have to use high learning rate like this if there are any things that we should know while doing image classification please post them
problems you have faced and how u overcome them
like if it imbalanced dataset how u overcome it
momentum tuning in optimizer
how did u choose the learning rate
u may have made inferences while observing accuracies and validation losses
please post them…