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  Gradients without Backpropagation

  • 4 users
  • arxiv.org
  • テクノロジー
  • 2022/02/19

  Using backpropagation to compute gradients of objective functions for optimization has remained a mainstay of machine learning. Backpropagation, or reverse-mode differentiation, is a special case within the general family of automatic differentiation algorithms that also includes the forward mode. We present a method to compute gradients based solely on the directional derivative that one can comp

  • 機械学習