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CS Professional · Artificial Intelligence, Data Analytics and Cyber Security - Laws and Practice · Artificial Intelligence - Introduction and Basics

Which statement correctly distinguishes deep learning from machine learning generally?

Deep learning is a subset of machine learning that uses artificial neural networks with multiple hidden layers to learn patterns from data. It is not rule-based, and it can work with both labelled and unlabelled data depending on how it is trained.

  1. ADeep learning uses neural networks with multiple hidden layers and is a subset of machine learningCorrect
  2. BDeep learning does not use data and relies only on fixed if-then rules
  3. CDeep learning is a separate field that excludes neural networks
  4. DDeep learning can only be used with labelled data and never with unlabelled data

Explanation

Deep learning is a subset of machine learning built on artificial neural networks with many layers. It learns from data rather than fixed rules, and can be trained in supervised, unsupervised or other ways, so the other statements are wrong.

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