Answer Posted / Sukhdeep Singh Rajput
Backpropagation is an algorithm used to train artificial neural networks. It calculates the gradient of the error function with respect to each weight in the network, allowing us to update the weights in a direction that reduces the error. This process is repeated many times until convergence, where the error becomes small enough.
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