Advanced Database Management System - Tutorials and Notes: Machine Learning Exam Questions TRUE or FALSE 11

Wednesday, 27 May 2020

Machine Learning Exam Questions TRUE or FALSE 11

Machine learning quiz questions TRUE or FALSE with answers, important machine learning interview questions for data science, Top 3 machine learning question set, ML exam questions


Machine Learning TRUE / FALSE Questions - SET 11



1. A multi-layer neural network model trained using stochastic gradient descent on the same dataset with different initializations for its parameters is guaranteed to learn the same parameters.
                   (a) TRUE                                                   (b) FALSE

View Answer

Answer: FALSE
The loss function for a multi-layer neural network is non-convex and hence SGD is only guaranteed to converge to a local optimum.

2. Stochastic gradient descent results in a smoother convergence plot (loss vs epochs) as compared to batch gradient descent.
                   (a) TRUE                                                   (b) FALSE

View Answer

Answer: FALSE
SGD results in noisier convergence plots compared to batch gradient descent.

3. The gradient of the sigmoid with respect to an input that is very large will be infinity.
(a) TRUE                                                   (b) FALSE

View Answer

Answer: FALSE
Because the sigmoid is almost at for very large values, its gradient will be almost 0.

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