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Back propagation is a learning technique that adjusts weights in the neutral network by propagating weight changes.

  1. Forward from source to sink
  2. Backward from sink to source
  3. Forward from source to hidden nodes
  4. Backward from sink to hidden nodes
in Machine Learning by Veteran (105k points)
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Ans B

by Boss (32.5k points)
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Why it can't be option D as back propogation is multilayer feedbackward so it has hidden layers too. .

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