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What role does backpropagation play in training neural networks?

Practice Questions

1 question
Q1
What role does backpropagation play in training neural networks?
  1. It initializes the weights of the network
  2. It updates the weights based on the error gradient
  3. It evaluates the model's performance
  4. It selects the activation function

Questions & Step-by-step Solutions

1 item
Q
Q: What role does backpropagation play in training neural networks?
Solution: Backpropagation is the algorithm used to update the weights of the network by calculating the gradient of the loss function.
Steps: 0

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