How does gradient descent work?
NeutralTechnology
Gradient descent is a fundamental algorithm used in machine learning and optimization to minimize a function by iteratively moving towards the steepest descent. Understanding how it works is crucial for anyone involved in data science, as it plays a key role in training models effectively. This article explores the mechanics of gradient descent, making it easier for practitioners to apply it in their projects.
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