Max Pooling

Max pooling is a technique used in image processing and machine learning to simplify data while preserving important features. It works by dividing an image into small sections and, within each section, selecting the highest pixel value. This process reduces the overall size of the data, making it easier for computers to analyze, while maintaining the most prominent features, such as edges or bright spots. Max pooling helps improve the efficiency and accuracy of pattern recognition tasks, such as identifying objects in images.