COMP9444 Neural Networks and Deep Learning
Quiz 4 (Image Processing)
This is an optional quiz to test your understanding of
the Image Processing topic from Week 4.
- List five different Image Processing tasks.
- Explain the problem of vanishing and exploding gradients,
and how Weight Initialization can help to prevent it.
- Describe the Batch Normalization algorithm.
- Explain the concept of Data Augmentation,
and how it was used in AlexNet.
- Explain the difference between a Residual Network and a Dense Network.
- What is the formula for the (i, j)th entry
Glij in the Gram matrix at level l
of a convolutional neural network?
(remember to define any terms that you use)
- Explain the difference between Texture Synthesis and Style Transfer
(both in their purpose, and their cost function).