COMP9444
Neural Networks and Deep Learning
Assessment
COMP9444
⃝c Alan Blair, 2017-20
COMP9444
⃝c Alan Blair, 2017-20
COMP9444 20T2
Review
2
COMP9444 20T2
Review
3
Examinable Topics
Not Examinable
10a. Review
Assessment will consist of: Assignment 1 30% Assignment 2 30% Final Exam 40%
1c. Perceptrons
1d. Backpropagation
2a. Probability & Backprop Variations 3a. Hidden Unit Dynamics
4a. Convolutional Networks
4b. Image Processing
5a. Recurrent Networks
5b. Word Vectors
7a. Reinforcement Learning
7b. Deep Reinforcement Learning
8a. Hopfield Networks & Bolzmann Machines
8b. Language Processing
9a. Autoencoders
9b. Generative Adversarial Networks
These topics are NOT examinable:
COMP9444
⃝c Alan Blair, 2017-20
COMP9444
⃝c Alan Blair, 2017-20
COMP9444 20T2
Review 1
The Final Exam will be available on Moodle.
You will have 2 hours to complete the exam, within the window of 14:00 to 18:00 (Sydney time) on Monday 24 August.
The exam will be open-book.
You MUST complete the exam YOURSELF, without assistance from others, and without assisting others.
1b. Neuroanatomy 3b. PyTorch
COMP9444 20T2
Review
4 COMP9444 20T2 Review 5
Final Exam
Sample Exam
The Final Exam will consist of:
There is a Sample Exam available in Moodle.
Part A: (12 Marks)
Multiple Choice Questions (1 mark each)
Part A of the Sample Exam has only one Question. (Part A of the real Final Exam will have 12 Questions.)
Part B: (28 Marks)
Structured Questions involving a combination of:
Part B of the Sample Exam is made up of Questions from the Exercises, converted to a suitable on-line format. (Part B of the real Final Exam will contain questions that are similar in style and scope, although the length, content and mark allocation of individual questions won’t be exactly the same.)
selecting from multiple options, and/or entering numeric values
Part A Questions will be similar to the Quizzes. Part B Questions will be similar to the Exercises.
COMP9444
⃝c Alan Blair, 2017-20
COMP9444
⃝c Alan Blair, 2017-20
COMP9444 20T2
Review
6 COMP9444 20T2 Review
7
Related Courses
Possible 4th Year Projects
COMP3411/9414 Artificial Intelligence
COMP9417 Machine Learning and Data Mining
COMP4418 Knowledge Representation and Reasoning COMP3431 Robotic Software Architecture
COMP9517 Machine Vision
4th Year Thesis topics
generative models
autoencoders, bidirectional GANs
dimensionality reduction, deep PCA
deep learning for signal processing
deep learning combined with evolution
other topics in deep learning, evolution, games
COMP9444
⃝c Alan Blair, 2017-20
COMP9444
⃝c Alan Blair, 2017-20
COMP9444 20T2 Review 8
COMP9444 20T2 Review
9
UNSW myExperience Survey
Neural Networks and Deep Learning
COMP9444
⃝c Alan Blair, 2017-20
COMP9444
⃝c Alan Blair, 2017-20
Please remember to fill in the UNSW myExperience Survey.
QUESTIONS?
COMP9444 20T2 Review
10
Neural Networks and Deep Learning
COMP9444
⃝c Alan Blair, 2017-20
GOOD LUCK!