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Answer Posted / Nikita Singh
Gradient Descent is an optimization algorithm used in machine learning to find the minimum of a function by iteratively moving in the direction of steepest descent. During training, the weights of a neural network are adjusted based on the negative gradient of the loss function with respect to those weights. Gradient Descent can be applied in various forms, such as batch gradient descent, stochastic gradient descent, and mini-batch gradient descent.
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