QWhat is the meaning of the term "Loss Function" in AI?
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Explanation
Gradient Descent is an optimization algorithm used to minimize the loss function and update the model's parameters iteratively. It calculates the gradients of the loss function with respect to the model's parameters and adjusts the parameters in the direction of steepest descent. By repeatedly computing gradients and updating the parameters, gradient descent helps the model converge to a local minimum of the loss function, improving its performance.
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