Learning representations by back-propagating errors
The 1986 Nature paper demonstrates backpropagation for learning internal representations in multilayer networks. Its importance lies in efficiently assigning error signals through composed differentiable layers.
Overview. The 1986 Nature paper demonstrates backpropagation for learning internal representations in multilayer networks.
Context. Its importance lies in efficiently assigning error signals through composed differentiable layers.
Claims and evidence
Claim ledger, 2The 1986 Nature paper demonstrates backpropagation for learning internal representations in multilayer networks.
Its importance lies in efficiently assigning error signals through composed differentiable layers.