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 (D)</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 (D)</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 (C)</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. (C)</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. (A)</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. (B)</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. (C)</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. (D)</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. (B)</p> Signup and view all the answers
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