The paper I am currently reading says: Let b be the number of bad classifiers in the learner's hypothesis space H.  Can anybody tell me or link a paper on how to find the (exact) number of b or |H| (number of hypothesis) for a (deep) neural network? 
Amount of classifiers in a neuronal network's hypothesis space?
machine learning