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Spring 2024
Prof. Gilles Louppe
g.louppe@uliege.be
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R: paper https://t.co/wVg6xUmt7d
Q&A: ask me anything (during the course, on any topic, questions collected on a platform) Give examples more related to engineering and science. Focus on people rather than technology.
- Instructor: Gilles Louppe (g.louppe@uliege.be)
- Projects and guidance:
- Arnaud Delaunoy
- François Rozet
- Yann Claes
- Victor Dachet
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All important information about the course is maintained on the course hub at github.com/glouppe/info8010-deep-learning:
- Schedule
- Slides and materials
- Homeworks and project
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We have a Discord server for the course at https://discord.gg/5yZqTZhXFW. Ask questions, share resources, and chat with your peers and the teaching team.
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We recommend .italic[Understanding Deep Learning], by Simon J.D. Prince, for a comprehensive introduction to the field.
The book is freely available at https://udlbook.github.io/udlbook/.
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Videos from Spring 2021 are available at https://bit.ly/3roQmea, but they are not up-to-date with the current materials.
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Read, summarize and criticize a major scientific paper in deep learning. Details to be announced soon.
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Short exercises to get you started with the practicals of deep learning.
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Project of your choosing. Details to be announced soon.
- Oral exam (50%)
- Reading assignment (10%)
- Projects (40%)
- Homeworks (10%) (optional)
- Programming project (30% or 40%)
The reading assignment and the projects are mandatory for presenting the exam.
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Let's start!