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  • 16:35, 23 February 2023 Alpha5 talk contribs created page Gradient descent (Created page with "{{see also|Machine learning terms}} ===Introduction== Gradient descent is a popular optimization algorithm in machine learning. It works by finding the minimum cost function, which can be adjusted to minimize errors between predicted output and actual output from a model. Gradient descent utilizes weights and biases as input parameters to achieve this minimal error margin. ==How Gradient Descent Works== Gradient descent works by iteratively altering the parameters of a...")
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