Explain the concept of backpropagation.
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Answer / Dinesh Kumar Maurya
Backpropagation is a popular algorithm used for training artificial neural networks (ANNs). It computes the gradient of the loss function with respect to all the weights in the network by propagating the error from the output layer to the input layers. This process is known as backward pass or backpropagation. In each iteration, it adjusts the weights to minimize the error between the predicted and actual outputs.
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