Mini toolsDefinition
An automated process for discovering optimal neural network architectures. NAS uses machine learning to design and optimize neural network structures.
Detailed Explanation
Neural Architecture Search automates the design of neural network architectures through various search strategies including reinforcement learning evolutionary algorithms or gradient-based approaches. It explores a search space of possible architectures evaluating candidates based on performance metrics computational efficiency and other constraints. The process aims to find architectures that outperform hand-designed networks.
Use Cases
Automated ML pipeline design Custom model development Efficient architecture design Domain-specific model optimization
