Deep Learning (englisch) - Interaktive Studienpläne der TU Ilmenau

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 aPl examination consists of five individual activities evaluation methodological, practical as well as social skills of the student:

(1) First assignment

-- issued: May 20th, 2021 and due: May 27th, 2021

-- graded with up to 10 points

(2) Second assignment

-- issued: June 10th, 2021 and due: June 17th, 2021

-- graded with up to 10 points

(3) First-term test

-- June 17th 2021

-- graded with up to 25 points

(4) Group project

-- project mid-term report submission due: July 8th, 2021

-- project report submission due: July 22nd, 2021

-- project pitch video submission due: July 26th, 2021

-- graded with up to 30 points

(5) Second-term test

-- July 29th, 2021

-- graded with up to 25 points

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