But why would you ever not opt for reducing the number of weights by 1/2 in your model? This is what old-school stacked AE acomplishes. Can you at the very least point to the experiments / papers that demonstrate the superiority or non-inferiority of back-to-back training (without shared parameters), besides the statement that “all cool kids do it these days”?