COMP9444 Neural Networks and Deep Learning
Quiz 1 (Perceptron Learning and Backpropagation)
This is an optional quiz to test whether you understand the material
from Weeks 1 and 2 of the course.
- What class of functions can be learned by a Perceptron?
- Explain the difference between Perceptron Learning and Backpropagation.
- When training a Neural Network by Backpropagation, what happens if the Learning Rate is too low? What happens if it is too high?
- Explain why rescaling of inputs is sometimes necessary for Neural Networks.
- What is the difference between Online Learning, Batch Learning,
Mini-Batch Learning and Experience Replay?
Which of these methods are referred to as "Stochastic Gradient Descent"?