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Results tagged with gradient-descent
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user 293973
Gradient descent is a first-order iterative optimization algorithm. To find a local minimum of a function using gradient descent, one takes steps proportional to the negative of the gradient (or of the approximate gradient) of the function at the current point. For stochastic gradient descent there is also the [sgd] tag.
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How are samples selected when batching?
Yes, one way to think about it is what you described. Another way is: the samples are randomly sorted, then the first 32 are taken, next 32 and so on. Once the epoch is complete, they are randomly sor …
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