Learning the Number of Neurons in Deep Networks

  title={Learning the Number of Neurons in Deep Networks},
  author={Jose M. Alvarez and Mathieu Salzmann},
Nowadays, the number of layers and of neurons in each layer of a deep network are typically set manually. While very deep and wide networks have proven effective in general, they come at a high memory and computation cost, thus making them impractical for constrained platforms. These networks, however, are known to have many redundant parameters, and could thus, in principle, be replaced by more compact architectures. In this paper, we introduce an approach to automatically determining the… CONTINUE READING
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