New ShuffleNASNets improve efficiency and speed of CNN models.
problem Complexity and inefficiency of search-based neural architecture designs.
method Adopted and enhanced Efficient Neural Architecture Search (ENAS) with ShuffleNet V2 principles.
result Achieved significantly less complex, faster, and more efficient CNN models.