Deep Learning for Computer Vision (IN2346)
Course 0000002420 in SS 2017
General Data
| Course Type | Lecture w/ Exercise |
|---|---|
| Semester Weekly Hours | 4 SWS |
| Organisational Unit | Informatics 9 - Chair of Computer Vision and Artificial Intelligence (Prof. Cremers) |
| Lecturers |
Björn Häfner Responsible/Coordination: Daniel Cremers Assistants: Thomas Frerix Laura Leal-Taixe Matthias Nießner |
| Dates |
Assignment to Modules
-
IN2346: Introduction to Deep Learning / Introduction to Deep Learning
This module is included in the following catalogs:- Focus Area Bio-Sensors in M.Sc. Biomedical Engineering and Medical Physics
- Catalogue of non-physics elective courses
Further Information
Courses are together with exams the building blocks for modules. Please keep in mind that information on the contents, learning outcomes and, especially examination conditions are given on the module level only – see section "Assignment to Modules" above.
| additional remarks | - Introduction to Computer Vision and history of Deep Learning. - Machine learning Basics 1: linear classification, maximum likelihood - Machine learning basics 2: logistic regression, perceptron - Introduction to neural networks and their optimization, SGD, Back-propagation - Training Neural Networks Part 1: regularization, activation functions, weight initialization, gradient flow, batch normalization, hyperparameter optimization - Training Neural Networks Part 2: parameter updates, ensembles, dropout - Convolutional Neural Networks - CNN for object detection (from MNIST to ImageNet), visualizing CNN (DeepDream) - Recurrent networks and LSTMs - Research 1: Prominent architectures, e.g. GoogleNet, ResNet - Research 2: Reinforcement learning - Research 3: Adversarial networks |
|---|---|
| Links |
E-Learning course (e. g. Moodle) TUMonline entry |
Equivalent Courses (e. g. in other semesters)
| Semester | Title | Lecturers | Dates |
|---|---|---|---|
| WS 2024/5 | Introduction to Deep Learning (IN2346) |
Cremers, D.
Gladkova, M.
Hofherr, F.
Assistants: Qian, S. |
Tue, 14:00–16:00, MI HS1 Thu, 10:00–12:00, MI HS1 |
| SS 2024 | Introduction to Deep Learning (IN2346) | Chen, Y. Li, H. Nießner, M. Weitz, S. |
Tue, 14:00–16:00, virtuell Thu, 14:00–16:00, virtuell Mon, 14:00–16:00, MI HS1 Tue, 14:00–16:00, GALILEO Audimax |
| WS 2023/4 | Introduction to Deep Learning (IN2346) | Chen, Y. Dahnert, M. Gafni, G. Nießner, M. Weitz, S. |
Tue, 14:00–16:00, MI HS1 Thu, 10:00–12:00, MI HS1 and singular or moved dates |
| SS 2023 | Introduction to Deep Learning (IN2346) | Chen, Y. Dahnert, M. Franzmann, A. Gafni, G. Huang, J. … (total 6) |
Tue, 14:00–16:00, GALILEO Audimax Mon, 14:00–16:00, MI HS1 |
| WS 2022/3 | Introduction to Deep Learning (IN2346) | Chen, Y. Dahnert, M. Dai, A. Huang, J. |
Tue, 14:00–16:00, MI HS1 and singular or moved dates |
| SS 2022 | Introduction to Deep Learning (IN2346) |
Dendorfer, P.
Leal-Taixe, L.
Assistants: Gerken, F. |
Mon, 14:00–16:00, MI HS1 Tue, 14:00–16:00, GALILEO Audimax and singular or moved dates |
| WS 2021/2 | Introduction to Deep Learning (IN2346) | Dahnert, M. Franzmann, A. Gafni, G. Nie, Y. Nießner, M. |
Tue, 14:00–16:00, virtuell Thu, 10:00–12:00, virtuell |
| SS 2021 | Introduction to Deep Learning (IN2346) | Franzmann, A. Nießner, M. Wagner, S. Weitz, S. |
Mon, 14:00–16:00, virtuell Thu, 08:00–10:00, virtuell and singular or moved dates |
| WS 2020/1 | Introduction to Deep Learning (IN2346) | Dai, A. Dendorfer, P. Leal-Taixe, L. Lohr, Q. Nießner, M. … (total 6) |
Tue, 14:00–16:00, virtuell Thu, 10:00–12:00, virtuell and singular or moved dates |
| SS 2020 | Introduction to Deep Learning (IN2346) | Dendorfer, P. Leal-Taixe, L. Lohr, Q. Nießner, M. Rössler, A. … (total 7) | |
| WS 2019/20 | Introduction to Deep Learning (IN2346) | Dai, A. Leal-Taixe, L. Lohr, Q. Nießner, M. Rössler, A. … (total 6) |
Tue, 14:00–16:00, MI HS1 Thu, 10:00–12:00, MI HS1 and singular or moved dates |
| SS 2019 | Introduction to Deep Learning (IN2346) | Leal-Taixe, L. Lohr, Q. Nießner, M. Rössler, A. Wagner, S. |
Thu, 08:00–10:00, Interims I 101 Mon, 14:00–16:00, MI HS1 |
| WS 2018/9 | Introduction to Deep Learning (IN2346) | Leal-Taixe, L. Lohr, Q. Nießner, M. Wagner, S. |
Thu, 18:00–20:00, MI HS1 Tue, 18:00–20:00, Interims I 101 and singular or moved dates |
| SS 2018 | Introduction to Deep Learning (IN2346) | Leal-Taixe, L. Lohr, Q. Nießner, M. Wagner, S. |
Mon, 14:00–16:00, MI HS1 Thu, 08:00–10:00, Interims I 101 and singular or moved dates |