INF1-CG: Week 3
Tasks
Your major tasks and deadlines this week are:
- Do Quiz 1, released on Friday 30 Jan and due on Monday 2 Feb at 5pm.
- Attend lectures 6, 7, and 8.
- Attend your tutorial group.
- Attend one of the drop-in labs.
- Read the readings for this week.
Lectures
| No | Date | Title |
|---|---|---|
| 06 | 27 Jan | Perceptrons |
| 07 | 29 Jan | Perceptrons, continued |
| 08 | 30 Jan | Perceptron demo - Excel file is posted on Piazza Perceptrons to Neural Networks |
All lectures will be livestreamed and recorded on Echo Video. You may have to log on through Learn before this link works.
Readings
The links below direct you to the University Library or to Piazza. You will need to log on to access the full text.
Readings come in two flavours: recommended and suggested.
| Perceptrons | Sebastian Raschka. (2015). Single-Layer Neural Networks and Gradient Descent. Online article. | Recommended |
| Neural Networks | Michael Nielsen. (2019). Neural Networks and Deep Learning. Online textbook. Chapter 1: Using neural nets to recognize handwritten digits | Recommended |
Assignments
To access the assignments, please login in through Learn, and then go the link “Notable LTI 1.3”.
Quizzes
To access the quizzes, please login in through Learn, and then go the link “Gradescope”.
Labs
Please attend one of the drop-in lab sessions this week. The labs are designed to help with the assignments, and you can ask the lab demonstrator if anything is unclear with Assignment 1.
To access the lab notebooks, please login in through Learn, and then go the link “Notable LTI 1.3”.
Office Hours
Maithilee Kunda: Thursday 29 Jan 1pm, IF 3.06
Matthias Hennig: Friday 30 Jan 1pm, IF 2.31