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