What is Neural Architecture Search (NAS) in Computer Vision?

NAS automates the design of neural network architectures using search algorithms.

NAS explores a predefined search space of architectures using reinforcement learning, evolutionary algorithms, or gradient-based methods. It evaluates candidate models on validation performance and iteratively improves architecture design.