Schedule

August

09,10-12  Overview (lecture) | Basic Concepts (video)
16,17-21  Learning From Data / Deep Learning (videos) | (Q&A)
23,24-26  PyTorch (video) | Generative Projs (lecture)

September

30,31-02  Image Collections / Cameras (videos) | (Q&A)
06,07-09  Digital Image / Operations (videos) | (Q&A / proj)
13,14-16  Filters / Classical Basis (videos) | (Q&A)
20,21-23  Multiscale / Wavelets (videos) | (papers / Q&A)
27,28-30  Image Analysis / RANSAC (videos) | (Q&A)

October

04,05-07  Representation Learning / ConvNets (videos) | (Q&A)
11,12-14  CNN Architectures / RNN (videos) | (Q&A)

18,19-21  Localization / Segmentation (videos) | (slides / Q&A)
   26-28  NN Visualization (lecture) | Style (lecture)

November

   02-04  Generative Models (lecture) | GANs (lecture)
08,09-11  Improving GANs / Quality and Resolution, (lab) | (presentation)
15,16-18  Conditional GANS / Style, (lab) | (presentation)
22,23-25  Authoring / Etc., (lab) | (presentation)