How is the model capacity affected with dropout rate (where model capacity means the ability of a neural network to approximate complex functions)?
A. model capacity increases in increase in dropout rate
B. model capacity decreases in increase in dropout rate
C. model capacity is not affected on increase in dropout rate
D. none of these
Answer: Option B
This Question Belongs to Computer Science >> Machine Learning
In simple term, machine learning is
A. training based on historical data
B. prediction to answer a query
C. both A and B
D. automization of complex tasks
Which of the following is the best machine learning method?
A. scalable
B. accuracy
C. fast
D. all of the above
The output of training process in machine learning is
A. machine learning model
B. machine learning algorithm
C. null
D. accuracy
Application of machine learning methods to large databases is called
A. data mining.
B. artificial intelligence
C. big data computing
D. internet of things
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