The problem with neural architecture search is that we don’t know what to optimize on. We need some kind of topological understanding of the data to help build

The problem with neural architecture search is that we don’t know what to optimize on. We need some kind of topological understanding of the data to help build algorithms that can optimize performance. Clearly passing in error rates is not doing the trick