+Backpropagation is a fundamental algorithm for training [Neural Networks](/wiki/neural_network). It efficiently calculates the [Gradient](/wiki/gradient) of the loss function, allowing for the iterative adjustment of network weights to minimize error in [Machine Learning](/wiki/machine_learning) models.
+## See also
+- [Deep Learning](/wiki/deep_learning)
+- [Optimization](/wiki/optimization)
+- [Loss Function](/wiki/loss_function)
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