Entropy-Constrained Training of Deep Neural Networks

18 Dec 2018Simon WiedemannArturo MarbanKlaus-Robert MüllerWojciech Samek

We propose a general framework for neural network compression that is motivated by the Minimum Description Length (MDL) principle. For that we first derive an expression for the entropy of a neural network, which measures its complexity explicitly in terms of its bit-size... (read more)

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