What enables deep learning models to automatically improve their performance over time?

Deep learning models automatically improve by steralively learning from large datasets, adjusting their parameters through backpropagation based on error reduction

These models use a fixed rule set that evolves over time without the need for additional data inputs

They require manuel updates by programmers to enhance their algonthems and accommodate new data trends.

Improvement is achieved through periodic harthware upgrades that increase computational power, directly bousting model performance