courses:bev033dle:lectures [CourseWare Wiki]

Lectures Syllabus

Date	Lecture	Teacher	Materials	Notes / Reading
17.02.2021	1. Introduction to Neural Networks	BF	slides record	McCulloch-Pitts Neuron
24.02.2021	2. The Power of Neural Networks	BF	slides record
03.03.2021	3. Backpropagation	AS	slides record
10.03.2021	4. Stochastic Gradient Descent (SGD)	AS	slides record
17.03.2021	5. Convolutional Neural Networks	AS	slides record	A guide to convolution arithmetic for deep learning
24.03.2021	6. Data Augmentation, Weight Initialization, Batch Normalization	BF	slides record
31.03.2021	7. Regularization Methods for NNs	AS	slides record
07.04.2021	8. Adaptive SGD Methods	AS	slides record
14.04.2021	9. Adversarial Patterns. Robust Learning Approaches	BF	slides record
21.04.2021	10. Learning Representations, Stochastic EM	AS	slides record
28.04.2021	11. Variational Autoencoders	BF	slides record	VAE tutorial
05.05.2021	12. Guest lecture: Deep Metric Learning	Giorgos Tolias	slides record
12.05.2021	— Rector's day —
19.05.2021	13. Recurrent Neural Networks. Recurrent Back-Propagation	BF	slides