Lakshmi Priyanka

If we again use the linear perceptron algorithm to train the classifier, what will happen? Note: In the choices below ,“converge" means given a certain input, the algorithm will terminate with a fixed output within finite steps (assume T is very large: th...

Stochastic gradient descent (SGD) is a simple but widely applicable optimization technique. For example, we can use it to train a Support Vector Machine. The objective function in this case is given by: where is the hinge loss function, with for are the t...