NH_6
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Questions and Answers

What is the term for labeling pictures of dogs and cats with defining characteristics?

  • Feature engineering (correct)
  • Deep learning
  • Data engineering
  • Representation learning

In what process are programs written to perform their own feature engineering on raw data?

  • Data engineering
  • Deep learning
  • Feature extraction
  • Representation learning (correct)

What is the main drawback mentioned when it comes to labeling data for machine learning?

  • Difficulty in algorithm implementation
  • Complexity in understanding data
  • Lack of computing power
  • Subjectivity in labeling (correct)

Which method allows a machine to automatically discover representations needed for detection or classification?

<p>Deep learning (B)</p> Signup and view all the answers

What type of learning has seen significant advancements within the field based on the provided text?

<p>Deep learning (C)</p> Signup and view all the answers

What distinguishes representation learning from other types of learning discussed in the text?

<p>It performs its own feature engineering on raw data (D)</p> Signup and view all the answers

What is one of the principal challenges for Deep Learning discussed in the text?

<p>The Selectivity/Invariance Problem (A)</p> Signup and view all the answers

Which type of features are coded at each layer of a deep learning network, according to the text?

<p>Complex and simple features (C)</p> Signup and view all the answers

How does deep learning address the selectivity/invariance challenge?

<p>By coding input with increasingly complex features (B)</p> Signup and view all the answers

What is one of the key tasks that deep learning algorithms have made significant advances in, as mentioned in the text?

<p>Handwriting Recognition (D)</p> Signup and view all the answers

In the context of Deep Learning, what does 'invariance' refer to?

<p>Ability to ignore variations in input data (C)</p> Signup and view all the answers

Why is it important for a system to be highly selective in distinguishing between different objects?

<p>To improve generalization and robustness (A)</p> Signup and view all the answers

What distinguishes reinforcement learning from supervised and unsupervised learning?

<p>The network is driven by a reward signal but is not told how to maximize the reward. (A)</p> Signup and view all the answers

How did AlphaGo Zero differ from the original AlphaGo in terms of learning approach?

<p>AlphaGo Zero used reinforcement learning only, while AlphaGo used a mixture of supervised and reinforcement learning. (B)</p> Signup and view all the answers

What is the biological significance of reinforcement learning in animals?

<p>There are parallels between reinforcement learning algorithms and reward processing involving dopamine in the human brain. (D)</p> Signup and view all the answers

What differentiates Go from chess as mentioned in the text?

<p>Go is considered one of the world's most complex games with more possible moves than chess. (C)</p> Signup and view all the answers

How does reinforcement learning differ from simply repeating past successful strategies?

<p>Reinforcement learning requires the network to engage in trial and error for discovering new reward-generating strategies. (B)</p> Signup and view all the answers

What was the outcome of AlphaGo Zero playing against previous versions of AlphaGo?

<p>After 40 days, AlphaGo Zero was able to beat all existing versions of AlphaGo. (C)</p> Signup and view all the answers

What type of input did the machine receive while playing Atari Breakout?

<p>Sensory input similar to what would be seen on the screen during gameplay. (A)</p> Signup and view all the answers

In which type of learning does the network not receive explicit feedback but learns to detect patterns in data?

<p>Unsupervised Learning (A)</p> Signup and view all the answers

What role does dopamine play in reinforcement learning as discussed in the text?

<p>Dopamine drives reward processing within neural networks similar to reinforcement learning algorithms. (D)</p> Signup and view all the answers

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