Backpropagation Fundamentals

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What mathematical principle does the backpropagation algorithm rely on to compute gradients of the loss function with respect to each weight in the network?

Multiple Choice

The chain rule of calculus, applied recursively from the output layer to the input layer Numerical differentiation using finite differences at each weight The law of total probability applied to the loss distribution Taylor series expansion of the loss function around the current weights

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Backpropagation Fundamentals

Multiple Choice

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