courses:bev033dle:lectures [CourseWare Wiki]

Lectures Syllabus

Date	Lecture	Teacher	Materials	Notes / Reading
16.02.2022	1. Introduction to Neural Networks	BF	slides record	McCulloch-Pitts Neuron
23.02.2022	2. The Power of Neural Networks	BF	slides record
02.03.2022	3. Backpropagation	AS	slides record
09.03.2022	4. Stochastic Gradient Descent (SGD)	AS	slides record
16.03.2022	5. Convolutional Neural Networks	AS	slides record
23.03.2022	6. Data Augmentation, Weight Initialization, Batch Normalization	BF	slides record
30.03.2022	7. Regularization Methods for NNs	AS	slides record
06.04.2022	8. Adaptive SGD Methods	AS	slides record
13.04.2022	9. Adversarial Patterns. Robust Learning Approaches	BF	slides record
20.04.2022	10. Learning Representations I: Metric Learning, Word Vectors	AS	slides record
27.04.2022	11. Learning Representations II: t-SNE, Stochastic EM	AS	slides part 1 part 2
04.05.2022	12. Learning Representations III: Variational Autoencoders	BF	slides record	D. Kingma, M. Welling (2019), An Introduction to VAEs
11.05.2022	— Rector's day —
18.05.2022	13. Recurrent Neural Networks. Recurrent Back-Propagation	BF	slides record