You have a dataset of images, each labeled based on the presence of a human face. Which approach would most effectively create a neural network to recognize human faces in these images?

Real Exam

Utilize K-means Clustering for face detection within the pixels.

11.1%

Enhance the input data through feature engineering by adding features like eyes, noses, and mouths.

11.1%

Implement deep learning by constructing a neural network with multiple hidden layers to autonomously identify facial features.

66.7%

Design a neural network comprising an input layer of pixels, a single hidden layer, and an output layer with two categories.

11.1%

Google Professional Data Engineer