Avoiding pathologies in very deep networks

24 Feb 2014David DuvenaudOren RippelRyan P. AdamsZoubin Ghahramani

Choosing appropriate architectures and regularization strategies for deep networks is crucial to good predictive performance. To shed light on this problem, we analyze the analogous problem of constructing useful priors on compositions of functions... (read more)

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