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NEW QUESTION: 1
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. A good use for the wide and deep model is a small-scale linear regression problem.
C. The wide model is used for memorization, while the deep model is used for generalization.
D. The wide model is used for generalization, while the deep model is used for memorization.
Answer: A,C
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: 2
Cisco DNAサウスバウンドAPIは何を提供しますか?
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B. オーケストレーター通信用のRESful APIインターフェース
C. コントローラーとネットワークデバイス間のインターフェース
D. コントローラーとコンシューマー間のインターフェース
Answer: C
NEW QUESTION: 3
Die formelle und informelle Interaktion mit anderen in einer Organisationsbranche oder einem professionellen Umfeld ist bekannt als:
A. Vernetzung
B. Organisationstheorie
C. Verhandlung
D. Besprechung
Answer: A
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