Deep Learning for Computer Vision I: Basics

Organisational issues

Ersetzt ab SS 22 ,,Deep Learning für Computer Vision'' (24628)

Vorlesungsfolien

 1     17.04.2023    Introduction [pdf]

 2     24.04.2023    Neural Networks I  – Logistic Regression, Perceptron, MLP, Backprop, Activation Functions, Weight Init., Pretraining [pdf]

        01.05.2023    No lecture -> public holiday - 1. Mai

 3     08.05.2023    Neural Networks II – Optimization & Regularization [pdf]

 4     15.05.2023    Deep CNN Networks Background [pdf]

 5     22.05.2023    Deep Networks: Object Recognition [pdf

        29.05.2023    No lecture -> public holiday - Pfingstmontag

 6     05.06.2023    Object Detection [pdf

 7     12.06.2023    Image Segmentation [pdf]

 8     19.06.2023    Recurrent Neural Networks (RNN) + Embeddings [pdf]

 9     26.06.2023    RNNs for Image Caption / Tagging [pdf]

10     03.07.2023   Generative Adversarial Networks (GANs) [pdf]

11     10.07.2023   CNN Learning in Videos [pdf]

12     17.07.2023   Advanced Topics [pdf]

13     24.07.2023   Summary [pdf]