Question $80\mathrm{.}25$ pts

Which of the following accurately describes Stochastic Gradient Descent $($SGD$)?$

Group of answer choices

It processes one training example per weight update.

It becomes computationally expensive with a large number of training examples.

It is not the preferred choice for large training datasets.

It processes all training examples in each iteration of gradient descent.