Artificial Neural Networks Basics
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Questions and Answers

What is the primary goal of training a neural network?

  • To update the network weights to provide correct output (correct)
  • To reduce the dimensionality of the input data
  • To visualize the relationships between input features
  • To increase the error between predicted and actual outputs
  • What algorithm is used to propagate output errors back through the network layers?

  • Deep Learning
  • Backpropagation (correct)
  • Stochastic Gradient Descent
  • Gradient Descent
  • What type of data is used to train a neural network?

  • Noisy data
  • High-dimensional data
  • Input/output pairs with known outputs (correct)
  • Unlabeled data
  • What is the primary application of neural networks in robotics?

    <p>To recognize and respond to sensory data</p> Signup and view all the answers

    What is the term for the process of adjusting neural network weights to minimize error?

    <p>Weight Update</p> Signup and view all the answers

    What is the term for the amount of error between predicted and actual outputs?

    <p>Quantifiable error</p> Signup and view all the answers

    What is the primary advantage of using backpropagation in neural networks?

    <p>It enables the network to learn from its mistakes</p> Signup and view all the answers

    What is the term for the process of training a neural network on sample data?

    <p>Machine learning</p> Signup and view all the answers

    What is the primary application of neural networks in robotics, besides autonomous decision-making?

    <p>To enable human-robot interaction</p> Signup and view all the answers

    What is the primary goal of using neural networks in robotics, besides autonomous decision-making?

    <p>To enable the robot to interact with humans</p> Signup and view all the answers

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