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Third-Cycle Courses

Faculty of Engineering | Lund University

Details for the Course Syllabus for Course FRT220F valid from Spring 2019

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General
Aim
  • Learn about deep learning and GANs.
Contents
  • Three modules:
    - Deep learning basic
    - Deep learning training
    - Advanced deep learning
Knowledge and Understanding
  • For a passing grade the doctoral student must
  • Know the deep learning foundation.
    Understand deep learning training and its challenges.
    Understand basics or more advanced methods such as GANs.
Competences and Skills
  • For a passing grade the doctoral student must
  • Be able to implement different machine learning methods in different programming languages.
Judgement and Approach
  • For a passing grade the doctoral student must
  • Know which problems different machine learning methods can and should be used.
Types of Instruction
  • Lectures
  • Seminars
  • Exercises
  • Project
  • Three two day workshops covering:
    - Deep learning basic
    - Deep learning training
    - Advanced deep learning
Examination Formats
  • Written assignments
  • Failed, pass
Admission Requirements
Assumed Prior Knowledge
Selection Criteria
Literature
  •  
  • Slides and videos.
Further Information
Course code
  • FRT220F
Administrative Information
  • 2019-11-25
  • Professor Thomas Johansson

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