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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?
A
Utilize K-means Clustering for face detection within the pixels.
B
Enhance the input data through feature engineering by adding features like eyes, noses, and mouths.
C
Implement deep learning by constructing a neural network with multiple hidden layers to autonomously identify facial features.
D
Design a neural network comprising an input layer of pixels, a single hidden layer, and an output layer with two categories.
