Overview of Modern Deep Learning Models
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Questions and Answers

What is the depth of a feedforward neural network's CAP (Compositional Automated Procedure)?

  • The number of hidden layers multiplied by two
  • The number of hidden layers divided by two
  • The number of hidden layers plus one (correct)
  • The number of hidden layers minus one

    • Which of the following statements about the CAP depth of recurrent neural networks is true?

  • The CAP depth is potentially unlimited (correct)
  • The CAP depth is always equal to the number of hidden layers
  • The CAP depth cannot exceed the number of hidden layers
  • The CAP depth is always equal to 1

    • What is the generally accepted threshold of depth that separates shallow learning from deep learning?

  • There is no universally agreed-upon threshold (correct)
  • CAP depth greater than 3
  • CAP depth greater than 2
  • CAP depth greater than 1

    • What is the benefit of having more layers in a deep learning model (CAP > 2) compared to a shallow model?

    <p>It enables better feature extraction than shallow models</p> Signup and view all the answers

    What is one of the benefits of applying deep learning algorithms to unsupervised learning tasks?

    <p>It enables the use of more abundant unlabeled data</p> Signup and view all the answers

    Which of the following is an advantage of deep learning for supervised learning tasks?

    <p>It eliminates the need for feature engineering</p> Signup and view all the answers

    Which of the following is true about deep learning models?

    <p>They can include propositional formulas or latent variables organized layer-wise.</p> Signup and view all the answers

    In a deep learning process for image recognition, which of the following is true about the representational layers?

    <p>Each subsequent layer learns to encode slightly more abstract features.</p> Signup and view all the answers

    What is the purpose of the credit assignment path (CAP) in deep learning?

    <p>To describe the potential causal connections between input and output.</p> Signup and view all the answers

    What does the term 'deep' refer to in the context of deep learning?

    <p>The number of layers through which the data is transformed.</p> Signup and view all the answers

    Which of the following statements is true about hand-tuning in deep learning?

    <p>Varying numbers of layers and layer sizes can provide different degrees of abstraction.</p> Signup and view all the answers

    In an image recognition application using deep learning, which of the following is a plausible sequence of layers?

    <p>Pixels, edges, arrangements of edges, faces, noses and eyes.</p> Signup and view all the answers

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