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NEW QUESTION: 1
With Cisco IDM, which rate limit option specifies the maximum bandwidth for rate-limited traffic?
A. bandwidth
B. rate
C. protocol
D. limit
Answer: B
NEW QUESTION: 2
Which of the following statements about the Wide & Deep Learning model are true? (Select 2 answers.)
A. A good use for the wide and deep model is a recommender system.
B. The wide model is used for generalization, while the deep model is used for memorization.
C. A good use for the wide and deep model is a small-scale linear regression problem.
D. The wide model is used for memorization, while the deep model is used for generalization.
Answer: A,D
Explanation:
Can we teach computers to learn like humans do, by combining the power of memorization and generalization? It's not an easy question to answer, but by jointly training a wide linear model (for memorization) alongside a deep neural network (for generalization), one can combine the strengths of both to bring us one step closer. At Google, we call it Wide & Deep Learning. It's useful for generic large-scale regression and classification problems with sparse inputs (categorical features with a large number of possible feature values), such as recommender systems, search, and ranking problems.
Reference: https://research.googleblog.com/2016/06/wide-deep-learning-better-together-with.html
NEW QUESTION: 3
A. Option C
B. Option A
C. Option B
D. Option D
Answer: A