Backpropagation Algorithm | Vibepedia
The backpropagation algorithm is a fundamental component of machine learning, enabling neural networks to learn from data by minimizing errors. Developed by Dav
Overview
The backpropagation algorithm is a fundamental component of machine learning, enabling neural networks to learn from data by minimizing errors. Developed by David Rumelhart, Geoffrey Hinton, and Ronald Williams in 1986, it has become a cornerstone of artificial intelligence, used in applications from image recognition to natural language processing. Companies like Microsoft, Amazon, and IBM rely on backpropagation to drive their AI-powered services, including chatbots, virtual assistants, and predictive analytics.