Kursöversikt
The purpose with this course is to give a thorough introduction to deep learning, also known as deep neural networks. Over the last few years, deep machine learning has dramatically changed the state of the art performance in various fields including speech-recognition, computer vision and reinforcement learning (used, e.g., to learn how to play Go). We focus initially on basic principles regarding how these networks are constructed and trained, we then move on to study the involved optimisation problems in more detail and finally we cover a range of more advanced topics including generative adversarial networks (GANs). The overall objective is to provide a solid understanding of how and why deep machine learning is useful, as well as the skills to apply them to solve problems of practical importance.
Kurssammanfattning:
Datum | Information | Sista inlämningsdatum |
---|---|---|
Tis den 13 apr 2021 | Quiz Quiz 1 | ska lämnas in senast 8.30 |
Quiz Quiz 2 | ska lämnas in senast 8.30 | |
Quiz Quiz 3 | ska lämnas in senast 8.30 | |
Kalenderhändelse Module 1, Day 1, Session 1 | 9:00 till 11.30 | |
Kalenderhändelse Module 1, Day 1, Session 2 | 13:00 till 15.30 | |
Ons den 14 apr 2021 | Kalenderhändelse Module 1, Day 2, Session 1 | 9:00 till 11.30 |
Kalenderhändelse Module 1, Day 2, Session 2 | 13:00 till 15.30 | |
Mån den 3 maj 2021 | Uppgift PS1.1, substitute submission | ska lämnas in senast 23.59 |
Uppgift PS2.1, substitute submission | ska lämnas in senast 23.59 | |
Uppgift PS2.1, substitute submission Copy | ska lämnas in senast 23.59 | |
Sön den 30 maj 2021 | Uppgift Module 1: Home assignment - HA1 | ska lämnas in senast 23.59 |
Mån den 7 jun 2021 | Uppgift Module 1: Peer review | ska lämnas in senast 23.59 |
Fre den 11 jun 2021 | Uppgift Module 2: Assignment | ska lämnas in senast 23.59 |
Tis den 29 jun 2021 | Uppgift Module 3 - Group Final Project | ska lämnas in senast 23.59 |
Uppgift Module 3 - Individual Implementation Practical | ska lämnas in senast 23.59 | |
Uppgift Attendance PS 1.1 (Day 1, session 1) | ||
Uppgift Attendance PS 1.2 (Day 1, session 2) | ||
Uppgift Attendance PS 2.1 (Day 2, session 1) | ||
Uppgift Attendance PS 2.2 (Day 2, session 2) | ||
Quiz Understanding mini-batch gradient descent (part 2) |