Deep Neural Networks
- Lecturers: Prof Neil Lawrence, Dr Ferenc Huszar, Dr Nic Lane
- Students: Part II CST 75%
- Course code: DeepNN
- Hours: 14hrs lectures
- Class limit: 30
There will be two assessment tasks. The first will be given out at the end of Week 3 for submisison in Week 4 (30%). The second will be given out at the end of Week 5 for submission in Week 8 (70%).
Lectures
Details of the course lectures can be found here.
Case Studies
The lectures for weeks 6 to 8 will focus on "special topics". The lectures will be given by guest lectures discussing a specific real world scenario where they have applied machine learning or machine learning would be applicable. In session 2 of week 8, we will discuss the material in light of the course and discuss potential challenges that could provide the basis for a project.
Details of the course case studies can be found here.