Deep Learning Concepts
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Questions and Answers

What does the adjective "deep" in deep learning refer to?

  • The use of multiple layers in the network (correct)
  • Early work on linear perceptrons
  • A network with a nonpolynomial activation function
  • Efficiency, trainability and understandability

    • What allows deep learning to be practically applied and optimized?

  • An unbounded number of layers of bounded size (correct)
  • A biologically informed connectionist model
  • An unbounded width of layers
  • A nonpolynomial activation function

    • What is the main difference between deep learning and early work on classifiers?

  • The layers are heterogeneous
  • The layers are of unbounded width
  • The layers are of bounded size (correct)
  • The layers are of unbounded size

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