Auto-Architecture

Auto-architecture refers to using algorithms, particularly neural networks, to automatically design and optimize the structure of machine learning models without human intervention. Instead of manually choosing layers and connections, the system explores different configurations to find the most effective architecture for a given task. This process accelerates model development, improves performance, and reduces human bias and trial-and-error effort. Essentially, auto-architecture leverages automation to craft neural networks that are tailored, efficient, and potentially more powerful than manually designed ones.