This is is the version for CS, systems engineering, wirtschaftsinformatik, etc. No CoLi students permitted in this edition. The corresponding LSF entry .
Starts: Tuesday, October 31st at 14:15
Location: large lecture hall mathematics, HS1 in E25
Exam: Tuesday, February 13th, 14:00-16:00 (location will follow a few days before the exam)
Registration for participation: please register here
Registration for the exam has to be done separately. Please check LSF and the corresponding deadline.
Tutorials:
There will be four tutorials groups. Details to follow.
Outline:
- Linear Algebra and Principal Component Analysis (PCA)
- Numerical Computation
- Machine Learning Basics
- Deep Feedforwad Neural Networks
- Regularization for Deep Learning
- Optimization for Deep Learning
- Convolutional Neural Networks
- Sequence Modelling: Recurrent and Recursive Neural Networks
Text Books:
Neural Networks and Deep Learning by Charu C. Aggarwal
Deep Learning by Aaron Courville, Ian Goodfellow, Joshua Bengio
Geometry of Deep Learning, Jong Chul Ye
Deep Learning Architectures: A Mathematical Approach, Ovidiu Calin