CIVIL-611 / 4 credits

Teacher(s): Alahi Alexandre Massoud, Fink Olga, Tuia Devis

Language: English

Remark: Doing a PhD in deep learning is a pre-requisite. Next time Fall 2023, max 15 part. Priority to EDCE and EDRS students. Registration link available below under "Notes".


Frequency

Every year

Summary

The seminar aims at discussing recent research papers in the field of deep learning, implementing the transferability/adaptability of the proposed approaches to applications in the field of research of the Ph.D. student.

Content

Note

Register here:

https://forms.gle/UswiZqN9wopsdLo77

We will notify you of your registration some days before start.

Keywords

Deep learning, Machine learning

Learning Prerequisites

Required courses

A deep learning class (bachelor or master level)

Resources

Moodle Link

In the programs

  • Number of places: 15
  • Exam form: Oral presentation (session free)
  • Subject examined: Frontiers of Deep Learning for Engineers
  • Project: 28 Hour(s)
  • Practical work: 28 Hour(s)
  • Number of places: 15
  • Exam form: Oral presentation (session free)
  • Subject examined: Frontiers of Deep Learning for Engineers
  • Project: 28 Hour(s)
  • Practical work: 28 Hour(s)

Reference week

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