Geoffrey Hinton (University of Toronto) (Dec 2022)
The Forward-Forward Algorithm offers an alternative to backpropagation in neural network training, particularly beneficial for analog or noisy hardware and provides insights into brain function. It also challenges the distinction between software and hardware, presenting a new hardware paradigm inspired by the brain’s adaptability and continuous learning capabilities.
Geoffrey Hinton (University of Toronto) (Dec 2022) Read More »