Introduction to Deep Learning
Summer
(in German: Introduction to Deep Learning )
Module-ID: FIN-INF-120521 |
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Abbreviation IDL |
Credit Points 6 |
Semester Summer |
Term starting at 1. |
Duration 1 Semester |
Language english |
Level Master |
| Link: | LSF |
| Limited accessability: | true |
| Responsibility: | Sebastian Stober |
| Lecturer: | Sebastian Stober |
| Classes: |
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| Applicability in curriculum: | - M.Sc. INF: Informatik - M.Sc. INGINF: Informatik - M.Sc. WIF: Informatik - M.Sc. DKE: Learning Methods and Models for Data Science - M.Sc. DE: Methoden der Informatik - M.Sc. VC: Computer Science |
Intended learning outcomes:
Students ...
- confidently apply DL techniques to develop a solution for a given problem
- follow recent DL publications and critically assess their contributions
- formulate hypotheses and design & conduct DL experiments to validate them
- document progress & design decisions for reproducibility and transparency
- have advanced competencies in scientific research in topics of the module
Content:
- Artificial neural network fundamentals (gradient descent & backpropagation, activation functions)
- Network architectures (Convolutional Neural Networks, Recurrent/Recursive Neural Networks, Auto-Encoders, Transformers)
- Regularization techniques
- Introspection & analysis techniques
- Optimization techniques
- Advanced training strategies (e.g. teacher-student)
Workload:
- 56h contact hours (2 SWS lecture + 2 SWS exercise groups)
- 124h self study (reading assignments (flipped classroom), programming exercises)
| Pre-examination requirements: | Type of examination: | Teaching method / lecture hours per week (SWS): |
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Exam requirements: participation and active involvement in the course and the exercises (defined in the 1st lecture and published on the course website) Final exam: written (120 minutes) Schein: pass final exam (at least 4.0) |
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| Prerequisites according to examination regulations: | Recommended prerequisites: |
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keine |
Machine Learning (required) |
| Media: | Literature: |
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Ian Goodfellow, Yoshua Bengio & Aaron Courville: "Deep Learning", MIT Press, 2016.
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Comments: