Scaling Equilibrium Propagation to Deep ConvNets by Drastically Reducing its Gradient Estimator Bias

Equilibrium Propagation (EP) is a biologically-inspired counterpart of Backpropagation Through Time (BPTT) which, owing to its strong theoretical guarantees and the locality in space of its learning rule, fosters the design of energy-efficient hardware dedicated to learning. In practice, however, EP...

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Hauptverfasser:	Laborieux, Axel, Ernoult, Maxence, Scellier, Benjamin, Bengio, Yoshua, Grollier, Julie, Querlioz, Damien
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Learning Computer Science - Neural and Evolutionary Computing
Online-Zugang:	Volltext bestellen
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