Schedule

August

16-18  Overview | Basic Concepts (lectures)
  -25  Learning From Data / Deep Learning (videos) | (Q&A)
30     Collab and PyTorch (lab class)
  -01  PyTorch / Geometric Deep Learning (videos) | (Q&A)

September

  -08  Image Collections / Cameras (videos) } (Q&A)
  -15  Digital Image / Operations (videos) | (Q&A)
  -22  Filters / Classical Basis (videos) | (Q&A)
  -29  Multiscale / Wavelets (videos) | (Q&A)
October

  -06  Image Analysis / RANSAC (videos) | (Q&A)
11-    Signals and ML (lecture) / Representation Learning (video)
  -20  Convolution Networks / CNN Architectures (videos) | (Q&A)
25     Conv Nets (lab class)
  -27  Localization / Segmentation (videos) | (Q&A)

November

  -03  NN Visualization / Style | (Q&A) 
  -10  Generative Models / GANs | (Q&A)
14     MLP / DC GANs (lab class)
15-17  Coordinate Networks / Meta-Learning | (lectures)
22-24  Implict GANs / Gradient Origin Networks | (lectures)
29     SIREN (lab class)
  -01  Presentations