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A core algorithm used in training neural networks. It works by calculating the error in the network’s output and propagating it backward through the network’s layers to adjust the weights and improve accuracy.
A core algorithm used in training neural networks. It works by calculating the error in the network’s output and propagating it backward through the network’s layers to adjust the weights and improve accuracy.
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