Neural Architecture Search

Neural Architecture Search (NAS) is a technique for automating the design of Artificial Neural Networks (ANN). Its goal is to automatically explore and optimize network structures through algorithms to discover more efficient and complex model architectures, thereby enhancing the performance and effectiveness of machine learning tasks. The application value of NAS lies in reducing the time cost associated with manual parameter tuning, improving the efficiency and accuracy of model design.