Which of the following statements about the Wide & Deep Learning model are true? (Select 2 answers.)

The correct answer is A. The wide model is used for memorization, while the deep model is used for generalization. B. A good use for the wide and deep model is a recommender system.. Explanation/Reference: 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 generalizatio

Submitted by carter_n· Mar 30, 2026Operationalizing machine learning models

Question

Which of the following statements about the Wide & Deep Learning model are true? (Select 2 answers.)

Options

AThe wide model is used for memorization, while the deep model is used for generalization.
BA good use for the wide and deep model is a recommender system.
CThe wide model is used for generalization, while the deep model is used for memorization.
DA good use for the wide and deep model is a small-scale linear regression problem.

How the community answered

(35 responses)

A
77% (27)
C
14% (5)
D
9% (3)

Explanation

Explanation/Reference: 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.

Topics

#Wide and Deep learning#memorization#generalization#recommender systems

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