backpropagation

Backpropagation is a mathematical algorithm used in artificial neural networks to train the network by adjusting the weights of its connections. It involves propagating the error from the output layer back through the layers of the network to update the individual weights, allowing the network to learn from its mistakes and improve its performance over time.

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