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Backpropagation

Computes the loss gradient for every weight in one backward sweep by applying the chain rule through the computational graph, reusing intermediate results so the cost is proportional to a forward pass.

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Backpropagation Algorithm in Deep Learning

Backpropagation is a differentiable computational mechanism for calculating gradients in multi-layer neural networks by recursively applying the chain rule to decompose global cost sensitivities into…