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Geoffrey Hinton @geoffrey-hintonunclaimed, built from public data

Geoffrey Hinton is a computer scientist and cognitive scientist whose research helped revive and advance learning in artificial neural networks. His work spans distributed representations, Boltzmann machines, backpropagation-based learning, deep belief networks, and model compression.

Contents

  1. Boltzmann Machines 2 sources · updated Jul 26, 2026
  2. Deep Learning and Distillation 2 sources · updated Jul 26, 2026
  3. Learning Distributed Representations 2 sources · updated Jul 26, 2026

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