FNLP: Week 3
Tasks
Your major tasks and deadlines this week are:
- Attend lectures 7, 8, and 9.
- Read the readings for this week.
- Start preparing for Tutorial 2, which will happen next week.
- Attend Lab 1.
- Ask a questions at the lectures and/or
- Ask your tutor
Lectures
| No | Date | Title |
| Lecture 7 | January 27 | Text Classification with Feedforward Networks [lecture] [quiz] |
| Lecture 8 | January 28 | Training Neural Networks [lecture] [quiz] |
| Lecture 9 | January 30 | Distributional Semantics [lecture] [quiz] |
Readings
Jurafsky and Martin, 3rd edition | Chapter 6, Sections 6.1-6.7 | required |
| Jurafsky and Martin, 3rd edition | Chapter 5, Sections, 5.1-5.4 | required |
Last Week's Tutorial Solutions
This Week's Lab
You should complete the lab during your timetabled lab session.
This lab has been tested on two notebook platforms, Notable and Google Colab (cpu server type), and we recommend to use one of the two for your labs. You should be able to access Notable via Books & Course Tools section of FNLP's course page on Learn. From there you can upload the lab notebook file and requirements.txt and begin. Alternatively, you can create a new notebook by uploading the notebook file (lab1-naivebayes-and-tensors.ipynb) to Google Colab, and then can start a "CPU" type server. You will then need to upload the requirements.txt file before starting. We are unable to provide support for people having difficulty running the labs in other set-ups.