COMP9444
Neural Networks and Deep Learning
COMP9444
⃝c Alan Blair, 2017-20
10a. Review
COMP9444 20T3
Review 1
Assessment
Assessment will consist of:
Assignment 1 30% Assignment 2 30% Final Exam 40%
The Final Exam will be available on Moodle.
You will have 2 hours to complete the exam, within the window of 14:00 to 17:00 (Sydney time) on Friday 27 November.
The exam will be open-book.
You MUST complete the exam YOURSELF, without assistance from others, and without assisting others.
COMP9444 ⃝c Alan Blair, 2017-20
COMP9444 20T3 Review
2
Examinable Topics
1c. Perceptrons
1d. Backpropagation
2a. Probability & Backprop Variations
3a. Hidden Unit Dynamics
3b. Convolutional Networks
4a. Image Processing
5a. Recurrent Networks
5b. Word Vectors
7a. Language Processing
7b. Reinforcement Learning
8a. Deep Reinforcement Learning
8b. Hopfield Networks & Bolzmann Machines
9a. Autoencoders
9b. Generative Adversarial Networks
COMP9444
⃝c Alan Blair, 2017-20
COMP9444 20T3
Review
3
Not Examinable
These topics are NOT examinable:
1b. Neuroanatomy 2b. PyTorch
COMP9444
⃝c Alan Blair, 2017-20
COMP9444 20T3 Review 4
Final Exam
Part A: (12 Marks)
Multiple Choice Questions (1 mark each)
Part B: (28 Marks)
Structured Questions involving a combination of:
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.
Fractional Negative Marks for Incorrect Answers:
• −60% for Multiple Choice (Sub-)Question with Only Two Options
• −20% for Multiple Choice (Sub-)Question with Three or More Options • No Negative Mark for Numerically Typed (Sub-)Question
COMP9444 ⃝c Alan Blair, 2017-20
COMP9444 20T3 Review 5
Sample Exam
There is a Sample Exam available in Moodle.
Part A of the Sample Exam has only one Question. (Part A of the real Final Exam will have 12 Questions.)
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.)
COMP9444 ⃝c Alan Blair, 2017-20
COMP9444 20T3 Review
6
Related Courses
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
COMP9444
⃝c Alan Blair, 2017-20
COMP9444 20T3 Review
7
Possible 4th Year Projects
combining autoencoders with GANs
combining deep learning with associative memory language processing
deep PCA, data analysis, generative models
other topics in deep learning, evolution, games
COMP9444
⃝c Alan Blair, 2017-20
COMP9444 20T3 Review 8
UNSW myExperience Survey
Please remember to fill in the UNSW myExperience Survey.
COMP9444 ⃝c Alan Blair, 2017-20
COMP9444 20T3 Review 9
Neural Networks and Deep Learning
COMP9444
⃝c Alan Blair, 2017-20
QUESTIONS?
COMP9444 20T3 Review 10
Neural Networks and Deep Learning
COMP9444
⃝c Alan Blair, 2017-20
GOOD LUCK!