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Module 1: Introduction

20222m

Which of the following statement(s) is/are true for Gradient Decent (GD) and Stochastic Gradient Decent (SGD)?
(1) In GD and SGD, you update a set of parameters in an iterative manner to function. minimize the error
(2) In SGD, you have to run through all the samples in your training set for a single update of a parameter in each iteration.
(3) In GD, you either use the entire data or a subset of training data to update a parameter in each iteration.

(i) Only (1)
(ii) (1) and (2) only
(iii) (3) and (2) only
(iv) (1), (2) and (3)

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