H13-311_V3.5 · Question #243
Deep learning is different from machine learning and there are no unsupervised algorithms
The correct answer is B. False. B (False) is correct because the statement contains two errors: first, deep learning is actually a subset of machine learning, not something separate from it; second, unsupervised algorithms absolutely exist in deep learning - autoencoders, generative adversarial networks…
Question
Deep learning is different from machine learning and there are no unsupervised algorithms
Options
- ATrue
- BFalse
How the community answered
(49 responses)- A24% (12)
- B76% (37)
Explanation
B (False) is correct because the statement contains two errors: first, deep learning is actually a subset of machine learning, not something separate from it; second, unsupervised algorithms absolutely exist in deep learning - autoencoders, generative adversarial networks (GANs), and variational autoencoders are all unsupervised deep learning methods.
Why A is wrong: Claiming the statement is "True" would mean accepting both false claims - that deep learning is entirely distinct from machine learning AND that no unsupervised deep learning exists. Both are factually incorrect; deep learning sits within the broader ML family and inherits its supervised/unsupervised/reinforcement paradigms.
Memory tip: Think of it as nested circles - Machine Learning is the big circle, Deep Learning is a smaller circle inside it. Just like regular ML has supervised and unsupervised variants, so does deep learning. If you remember that clustering and autoencoders can both be "deep," you'll never fall for the "no unsupervised deep learning" trap again.
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