Neural Architecture Generator Optimization

Neural Information Processing Systems 

DenseNet [12] and Inception [13] all rely on specific global wiring rather than specific operations. The second issue appears hard to solve, as analyzing the structure of complex networks is itself a demanding task for which few tools are available. We suggest that by moving the focus towards network generators we can obtain a much more informative solution, as the whole network can then be represented by a small set of parameters.

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