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Results tagged with gradient-descent
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user 56922
Gradient Descent is an algorithm for finding the minimum of a function. It iteratively calculates partial derivatives (gradients) of the function and descends in steps proportional to those partial derivatives. One major application of Gradient Descent is fitting a parameterized model to a set of data: the function to be minimized is an error function for the model.
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How is Stochastic Gradient Descent(SGD) used like Mini Batch Gradient Descent(MBGD)?
As I know, Gradient Descent(GD) has three variants which are:
1- Batch Gradient Descent(BGD): processes all the training examples for each iteration of gradient descent.
2- Stochastic Gradient Descent …
- 1,177