neural networks


Backpropagation is an algorithm used to train artificial neural networks. It works by iteratively adjusting the weights of the connections between neurons in the network to minimize the error between the network’s predictions and the desired outputs. Here’s a breakdown of the process: Forward Pass: An input is fed into the network, and it propagates…

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