Deep Learning Course Outline Quiz

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Questions and Answers

What is the main focus of Reinforcement Learning?

  • Optimizing structured data
  • Finding the correct answer in training data
  • Analyzing images, audio, and text
  • Maximizing reward in a particular situation (correct)

Which learning approach involves a model being trained with the correct answer itself?

  • Reinforcement Learning
  • Un-Supervised Learning
  • Deep Learning
  • Supervised Learning (correct)

What is the goal of Convolutional Neural Networks (CNNs)?

  • Classifying structured data
  • Maximizing rewards in reinforcement learning
  • Optimizing housing data
  • Analyzing unstructured data like images (correct)

Which technique involves machines finding the best possible behavior or path in a specific situation?

<p>Reinforcement Learning (C)</p> Signup and view all the answers

What distinguishes Reinforcement Learning from Supervised Learning?

<p>Reinforcement learning has no answer key in training data (C)</p> Signup and view all the answers

Which type of learning involves a reinforcement agent deciding what to do to perform given tasks?

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

What is the main difference between supervised/unsupervised learning and reinforcement learning?

<p>Reinforcement learning uses algorithms that learn from outcomes and decide which action to take next (D)</p> Signup and view all the answers

What is the purpose of the feedback received by the reinforcement learning algorithm after each action?

<p>To determine if the choice made was correct, neutral or incorrect (A)</p> Signup and view all the answers

What is the goal of the reinforcement learning algorithm?

<p>To maximize the reward received (B)</p> Signup and view all the answers

Which of the following is an example of a reinforcement learning application?

<p>Automated systems that have to make a lot of small decisions without human guidance (D)</p> Signup and view all the answers

How does a master chess player make a move?

<p>The choice is informed by planning and anticipating possible replies and counter-replies (A)</p> Signup and view all the answers

Which of the following is a limitation of pre-programmed robots in structured environments?

<p>They cannot adapt to changes in the environment (A)</p> Signup and view all the answers

What can make it difficult to diagnose and fix problems related to agent behavior?

<p>The unclear reasons behind the agent's behavior (D)</p> Signup and view all the answers

In a Deep L-layer Neural Network, what does L represent?

<p>Number of layers (B)</p> Signup and view all the answers

What is the purpose of back propagation in Neural Networks?

<p>To propagate errors backwards for updating weights (A)</p> Signup and view all the answers

Which part of a Neural Network involves the calculation zl = wl.al-1 + bl?

<p>Forward Propagation (C)</p> Signup and view all the answers

What is a common hyper-parameter in Neural Networks?

<h1>hidden units (A)</h1> Signup and view all the answers

What aspect of the deep learning approach is compared to the human brain?

<h1>hidden layers (A)</h1> Signup and view all the answers

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