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Backpropagation (chain rule intuition)
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629.
Purpose of Backpropagation
easy
What is the purpose of backpropagation in neural network training?
A
It updates the network weights directly by comparing predictions to labels without computing any gradients
B
It computes the optimal learning rate for each layer by measuring how sensitive the loss is to each weight update
C
It validates that the forward pass is correct by checking that the loss decreases after each parameter update
D
It computes the gradient of the loss with respect to every parameter by propagating errors backward through the network
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