Error-driven learning in multilayer neural networks was revolutionized by the error backpropagation algorithm 1, or backprop for short. In backprop, gradients or ...
A new model of learning centers on bursts of neural activity that act as teaching signals — approximating backpropagation, the algorithm behind learning in AI. Every time a human or machine learns how ...
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