Neural Architecture Search Method and Apparatus, and Storage Medium

Abstract: a neural architecture search method includes obtaining a target constraint, which indicates a model scale defined by a target instance for running a neural network model; obtaining a plurality of pre-trained first neural network models based on search space, where the search space indicates correspondences between a plurality of model scales and the plurality of first neural network models, and the model architecture parameter indicates a ratio between at least two neural network architectures in the first neural network model; and selecting a target neural network model that meets the target constraint.

Inventor(s): Qi Tian, Haoran Yin, Junran Peng, Lingxi Xie, Zhaoxiang Zhang

CPC Classification: G06N3/045 (Combinations of networks)

Search for rejections for patent application number 20250190760