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Backpropagation is a neural network training algorithm that helps the network learn by adjusting its weights. It calculates the error between predicted and actual outputs, then moves backward through the network to update weights proportionally. Repeating this process improves accuracy over time. It’s a fundamental method used in frameworks ...
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