[sieisteinmodel]

Deep learning research cares neither about identifiability nor global minima. Mostly, local minima are good enough to get the "job" done; here job is the task you are trying to solve. In fact, it is easy to show there is an combinatorial amount of equivalent global minima.

This is only interesting if you want to analyze the model. Not if you just want a function f(x) that tells you whether x is a cat or a dog.