Definition: You are given a question on machine learning. You are also given 4 answer options (associated with "A", "B", "C", "D"), out of which only one is correct. You need to answer the question by selecting the correct option. You should only answer with the choice letter, not the whole answer.
Input: Given a Neural Net with N input nodes, no hidden layers, one output node, with Entropy Loss and Sigmoid Activation Functions, which of the following algorithms (with the proper hyper-parameters and initialization) can be used to find the global optimum?
(A)Stochastic Gradient Descent (B)Mini-Batch Gradient Descent (C)Batch Gradient Descent (D)All of the above
