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Answer Posted / Mithilesh Kumar Pandey
In deep learning, a cost function (also known as loss function or objective function) is used to measure the difference between the predicted outputs of a neural network and the actual desired outputs. The goal of training a neural network is to minimize this cost function by adjusting the weights and biases of the network through an iterative process called backpropagation.
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