Rumelhart, Hinton and Williams, Learning representations by back-propagating errors, 1986 - Very influential in popularizing backpropagation, also known to numerical analysts as "reverse mode ...

Backpropagation is a fundamental algorithm in the field of machine learning, especially in training neural networks. It's the cornerstone behind how neural networks learn from data and make ...

Geoffrey Hinton, professor at the University of Toronto and engineering fellow at Google Brain, recently published a paper on the Forward-Forward algorithm (FF), a technique for training neural networ ...

Using an artificial intelligence (AI) algorithm called reservoir computing, combined with another algorithm called backpropagation, the team developed a neuro-inspired analog computer that can ...

This work involves research and analysis of the topic of learning algorithms of neural networks. This paper presents network learning that is performed by regenerating neural connections. This type of ...

Hopfield’s work is not particularly in use today, but the backpropagation algorithm (co-invented by Hinton) has had a tremendous impact on many different sciences and technologies. This is ...