Two practical questions regarding the use of autoencoders. For the size of the NN, let's say I have 50 inputs, so layer sizes go like 50-25-12-6-2-6-12-25-50
how much data I generally need to train it and how does it depend on the size of net?
I'd like to weigh samples differently - e.g. there is a time component to the problem the last samples are most recent, so should weigh more. Is there an easy way to incorporate it?