Suppose You Have a Dataset of Images That Are Each

question 41

Multiple Choice

Suppose you have a dataset of images that are each labeled as to whether or not they contain a human face. To create a neural network that recognizes human faces in images using this labeled dataset, what approach would likely be the most effective?

• A) Use K-means Clustering to detect faces in the pixels.
• B) Use feature engineering to add features for eyes, noses, and mouths to the input data.
• C) Use deep learning by creating a neural network with multiple hidden layers to automatically detect features of faces.
• D) Build a neural network with an input layer of pixels, a hidden layer, and an output layer with two categories.

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Definitions:

Months of Age

A measurement of an individual's age in months, often used to track development milestones in infants and young children.

Difficult Temperament

A personality style characterized by high levels of emotional reactivity and difficulty in adapting to new situations or modifying behavior in response to environmental changes.

Caretaker Actions

Behaviors and decisions made by an individual responsible for the caregiving and well-being of another, often involving protective and supportive measures.

Still-Face Method

A research paradigm used in psychology to assess infant-caregiver interaction, where the caregiver maintains an unresponsive, expressionless face towards the infant.