Hyperband

Hyperband is an efficient method for tuning machine learning models by quickly identifying promising configurations and discarding poor ones early. It allocates resources—like training time—smartly, focusing more on the best options. Imagine testing many options but stopping the slow-losing ones swiftly to save effort, while investing more in the promising settings. This approach speeds up finding the optimal model setup compared to traditional methods, making the process more effective and resource-efficient.