Stochastic Gradient Descent: Revision history

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16 December 2023

  • curprev 15:3215:32, 16 December 2023‎ Ai talk contribs‎ 4,941 bytes +4,941‎ Created page with "== Introduction == Stochastic Gradient Descent (SGD) is a popular optimization algorithm used in many machine learning applications. It is a variant of gradient descent, a general-purpose optimization algorithm, where the objective is to find the minimum of a function. Unlike standard gradient descent, which calculates the gradient using the entire data set, SGD approximates the overall gradient by using a single randomly chosen data point. This make..."
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