Artificial Neural Networks: AND Function
18 Questions
0 Views

Choose a study mode

Play Quiz
Study Flashcards
Spaced Repetition
Chat to lesson

Podcast

Play an AI-generated podcast conversation about this lesson

Questions and Answers

What is the output of the perceptron when x1 = 1, x2 = -1, w1 = 2, w2 = 2, b = -2, and θ = 0?

  • -1 (correct)
  • 2
  • 1
  • 0

    • What type of units are used in the example of the AND function?

  • Unipolar units
  • Bipolar units (correct)
  • Binary units
  • Continuous units

    • What is the condition for the output of the perceptron to be 1?

  • The weighted sum is equal to the threshold
  • The weighted sum is less than the threshold
  • The weighted sum is less than or equal to the threshold
  • The weighted sum is greater than the threshold (correct)

    • What is the problem with Hebbian learning?

    <p>It cannot learn nonlinearly separable functions</p> Signup and view all the answers

    What is the purpose of the threshold θ in the perceptron?

    <p>To determine the output of the perceptron</p> Signup and view all the answers

    What is the advantage of using bipolar units?

    <p>They can learn certain linearly separable functions more easily</p> Signup and view all the answers

    What is the role of the bias unit in the Hebb net for the AND function?

    <p>It is used to introduce a constant input to the neuron</p> Signup and view all the answers

    What is the purpose of the bias term b in the single layer neural network?

    <p>To represent the weight from a special unit with constant output 1</p> Signup and view all the answers

    What is the update rule for the weights in Hebbian learning?

    <p>wij(new) = wij(old) + xi * y</p> Signup and view all the answers

    What type of activation function is used for binary data in Hebbian learning?

    <p>Binary step function</p> Signup and view all the answers

    What is the decision boundary in the case of n = 2, b != 0, and θ = 0?

    <p>A line</p> Signup and view all the answers

    What is the key characteristic of error-driven learning?

    <p>Weights are updated based on the error between the predicted and actual output</p> Signup and view all the answers

    What is the condition for the output of the neural network to be 1?

    <p>y_in ≥ θ</p> Signup and view all the answers

    What is the condition for linear separability in a perceptron?

    <p>The data points can be separated by a single hyperplane</p> Signup and view all the answers

    What is the Hebbian learning law in the context of Artificial Neural Networks?

    <p>wij increases only when both I and j are 'on'</p> Signup and view all the answers

    What is the update rule for the weights in the Hebb net learning algorithm?

    <p>wij(new) = wij(old) + xi*y</p> Signup and view all the answers

    How many times is each training sample used in the Hebb net for the AND function?

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

    What is the primary concept behind Hebb's claim in his book 'The Organization of Behavior'?

    <p>Behavior changes are primarily due to the changes of synaptic strengths between neurons</p> Signup and view all the answers

    More Like This

    Use Quizgecko on...
    Browser
    Open
    Browser
    Browser