Question
Which option correctly explains Deep belief networks in a neural-network workflow? Select the option consistent with standard deep learning theory.
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Correct Answer: D. A deep belief network is built using stacked probabilistic latent-variable layers
Explanation:
The correct answer is a deep belief network is built using stacked probabilistic latent-variable layers. This matches the Deep Learning course topic: Deep belief networks.
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