Neural Networks: Implementation and Application (CoLI/LST students only!!!!)

This is the version for CoLis (bachelor and master) only. No other students permitted.

Starts: Tuesday, 22.10.24

Location: large lecture hall mathematics, HS1 in E25

Exam: Tuesday, February 11th 14:00-16:00

Tutorials: tbs

There will be two tutorials groups. Details to follow here on CMS.

Outline:

1. Linear Algebra and Principal Component Analysis (PCA)
2. Numerical Computation
3. Machine Learning Basics
4. Deep Feedforward Neural Networks
5. Regularization for Deep Learning
6. Optimization for Deep Learning
7. Convolutional Neural Networks
8. 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