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AI • Machine Learning • Tech on Instagram: "Gradient descent is a fundamental optimization algorithm used by most AI models to learn from data by minimizing a loss function, which measures how far the model’s predictions are from the true values. Conceptually, it treats the loss function as a landscape (we call this the loss landscape) with peaks and valleys representing high and low errors. At any point on this landscape, the gradient (vector of slopes) indicates the direction and steepness of
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AI • Machine Learning • Tech on Instagram: "Gradient descent is an optimization algorithm (also known as an optimizer) used to minimize cost functions by moving step by step in the direction of the steepest descent—the direction of steepest descent is the negative gradient of the function at a certain point. At each iteration, gradient descent computes the gradient of the function at the current point, which represents the direction and rate of the steepest increase. To move toward a minimum, th
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