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Results tagged with gradient-descent
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user 57082
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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Backpropagation
I use chain rule when doing backpropagation and then I do Gradient Descent with weighting coefficient and I am updating the weight, so I do not understand how the method works in the equations below.
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What is the difference between Gradient Descent and Stochastic Gradient Descent?
What is the difference between Gradient Descent and Stochastic Gradient Descent?
I am not very familiar with these, can you describe the difference with a short example?
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