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