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What is Stochastic Gradient Descent Explained about?

The document discusses stochastic gradient descent (SGD) as a method for minimizing an average of functions, highlighting its efficiency compared to traditional gradient descent. It outlines the process of SGD, including the choice of indices for updates and the benefits of using diminishing step sizes. Additionally, it touches on mini-batch SGD as a variation that reduces variance while maintaining efficiency.

Author

Sahil Dutta

Language

EN