Podcast
Questions and Answers
What is the output of the perceptron when x1 = 1, x2 = -1, w1 = 2, w2 = 2, b = -2, and θ = 0?
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?
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?
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?
What is the problem with Hebbian learning?
What is the purpose of the threshold θ in the perceptron?
What is the purpose of the threshold θ in the perceptron?
What is the advantage of using bipolar units?
What is the advantage of using bipolar units?
What is the role of the bias unit in the Hebb net for the AND function?
What is the role of the bias unit in the Hebb net for the AND function?
What is the purpose of the bias term b in the single layer neural network?
What is the purpose of the bias term b in the single layer neural network?
What is the update rule for the weights in Hebbian learning?
What is the update rule for the weights in Hebbian learning?
What type of activation function is used for binary data in Hebbian learning?
What type of activation function is used for binary data in Hebbian learning?
What is the decision boundary in the case of n = 2, b != 0, and θ = 0?
What is the decision boundary in the case of n = 2, b != 0, and θ = 0?
What is the key characteristic of error-driven learning?
What is the key characteristic of error-driven learning?
What is the condition for the output of the neural network to be 1?
What is the condition for the output of the neural network to be 1?
What is the condition for linear separability in a perceptron?
What is the condition for linear separability in a perceptron?
What is the Hebbian learning law in the context of Artificial Neural Networks?
What is the Hebbian learning law in the context of Artificial Neural Networks?
What is the update rule for the weights in the Hebb net learning algorithm?
What is the update rule for the weights in the Hebb net learning algorithm?
How many times is each training sample used in the Hebb net for the AND function?
How many times is each training sample used in the Hebb net for the AND function?
What is the primary concept behind Hebb's claim in his book 'The Organization of Behavior'?
What is the primary concept behind Hebb's claim in his book 'The Organization of Behavior'?
