Technische Universität Ilmenau

Deep Learning (englisch) - Modultafeln of TU Ilmenau

The module lists provide information on the degree programmes offered by the TU Ilmenau.

Please refer to the respective study and examination rules and regulations for the legally binding curricula (Annex Curriculum).

You can find all details on planned lectures and classes in the electronic university catalogue.

Information and guidance on the maintenance of module descriptions by the module officers are provided at Module maintenance.

Please send information on missing or incorrect module descriptions directly to modulkatalog@tu-ilmenau.de.

module properties Deep Learning (englisch) in degree program Master Informatik 2013
module nameDeep Learning (englisch)
module number101969
departmentDepartment of Computer Science and Automation
ID of group 2234 (Software Engineering for safety-critical Systems)
module leaderProf. Dr. Patrick Mäder
credit points5
obligationelective module
requirements
certificate of the module Individual achievements or exams
details of the certificate
signup details for alternative examinations
learning outcome

Theory: (evaluation by written exam)



  • Knowledge on theoretical foundations of deep neural networks

  • Knowledge on CNN architectures and applications

  • Knowledge on architectures for sequence modeling and their applications


    Practice: (evaluation by practical assignments)



  • Ability to implement and apply of a variety of deep learning algorithms

  • Ability to evaluate and troubleshoot deep learning models

  • Ability to use computational resources for train and application of deep learning models

The module contains the following subjects:
Deep Learning
credit points0
obligationelective module
certificate of the moduleexamination performance with multiple performances
term Wintersemester