Convolution Operation

The convolution operation is a mathematical process used to combine two sets of information, often in the context of signals or images. Imagine sliding one shape over another and calculating how much they overlap at each position. This overlap helps to highlight features or patterns, like detecting edges in an image or refining sound waves. In practical terms, convolution helps machines learn to recognize patterns, making it essential in fields like image processing, speech recognition, and neural networks, among others, by enhancing important details while filtering out noise.