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Explain the Algorithm of Neural Networks (back propagation) in Machine Learning?
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Answer / Jyoti Singh Chaihal
Neural networks, particularly those using backpropagation, are a popular method for training artificial neural networks. Backpropagation is an algorithm that adjusts the weights between neurons to minimize error by iteratively passing information (forward and backward) through the network during training. It involves calculating the derivative of the loss function with respect to each weight, adjusting the weights accordingly, and repeating this process until convergence.
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