"Backpropagation Applied to Handwritten Zip Code Recognition"

"Backpropagation Applied to Handwritten Zip Code Recognition" describes a method where a neural network learns to identify handwritten zip codes. The process involves the network analyzing images, making predictions, then comparing these predictions to correct answers. If there's a mistake, backpropagation adjusts the network's internal settings to improve future accuracy. Through repeated training on many examples, the system becomes better at recognizing handwritten digits, making it a powerful tool for automating mail sorting and similar tasks.