Amazon’s Alexa Science researchers published a paper providing a theoretical basis for neural-network optimization.

While showing that it is computationally intractable to find a perfect solution, the paper does provide a formulation, the Approximate Architecture Search Problem (a-ASP), that can be solved with genetic algorithms.

In a recent blog post describing the work, research engineer Adrian de Wynter cast the problem of choosing a neural-network architecture as an exercise in function approximation;

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