Neural Networks in Medical Imaging Quiz
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Questions and Answers

What is the purpose of a neural network?

  • To relate inputs to desired outputs by modifying the strengths of connections (correct)
  • To create linear systems for modeling
  • To classify images in medical imaging
  • To interpret complex data patterns

    • What is the key characteristic of a multi-layer perceptron (MLP)?

  • It is only used for unsupervised learning
  • It has at least 3 layers: input, hidden, and output (correct)
  • It can only have 2 hidden layers
  • It uses a linear activation function for each node

    • What is the purpose of backpropagation in a multi-layer perceptron?

  • To calculate the maximum number of neurons in each layer
  • To learn by changing weight values using gradient descent (correct)
  • To determine the number of hidden layers in the network
  • To initialize the weights of the neural network

    • Why is it important for the activation function in a multi-layer perceptron to be derivable?

    <p>To enable the use of backpropagation for learning</p> Signup and view all the answers

    What distinguishes deep neural networks from other neural networks?

    <p>They have more than 3 hidden layers</p> Signup and view all the answers

    What is the maximum number of hidden layers that was proven to be effective when using sigmoid activation functions in a multi-layer perceptron?

    <p>3</p> Signup and view all the answers

    What type of learning algorithm is a perceptron?

    <p>Supervised learning algorithm</p> Signup and view all the answers

    What is the purpose of backpropagation in a multi-layer perceptron?

    <p>To change weight values using gradient descent</p> Signup and view all the answers

    What type of systems are neural networks best used for modeling?

    <p>Highly nonlinear systems</p> Signup and view all the answers

    What distinguishes deep neural networks from other neural networks?

    <p>Having more than 3 hidden layers</p> Signup and view all the answers

    What is the purpose of a multi-layer perceptron (MLP)?

    <p>Modeling highly nonlinear systems</p> Signup and view all the answers

    What does the activation function in a multi-layer perceptron (MLP) need to be?

    <p>Derivable</p> Signup and view all the answers

    How is the new weight value determined in a multi-layer perceptron (MLP) using backpropagation?

    <p>Using gradient descent</p> Signup and view all the answers

    What distinguishes deep neural networks from other neural networks?

    <p>Having more than 3 hidden layers</p> Signup and view all the answers

    What type of learning algorithm is a perceptron?

    <p>Supervised learning algorithm</p> Signup and view all the answers

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