Neural Networks
Machine Learning
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 (NAS) is an automated method for identifying the best neural network designs, aiming to improve performance and efficiency. It leverages machine learning techniques to explore various architectures, including layer types, connections, and parameters, systematically optimizing the structure without extensive manual intervention. NAS accelerates development and often results in highly effective, custom models for specific tasks.
Use Cases
- •Automatically designing efficient neural networks for image recognition tasks to improve accuracy and speed.
Related Terms
Other terms in the Machine Learning category