Question

. How Gradient descent and stochastic gradient descent methods solve optimization problem?​

Answer 1

Answer:

Stochastic Gradient Descent (SGD):

In typical Gradient Descent optimization, like Batch Gradient Descent, the batch is taken to be the whole dataset. ... This problem is solved by Stochastic Gradient Descent. In SGD, it uses only a single sample, i.e., a batch size of one, to perform each iteration.

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