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By @markusspiske

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 plus one

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

The CAP depth is potentially unlimited

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

There is no universally agreed-upon threshold

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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