- paper: https://arxiv.org/pdf/1512.03385.pdf
- slides: http://icml.cc/2016/tutorials/icml2016_tutorial_deep_residual_networks_kaiminghe.pdf
- presenter: Sumedha
We will go over the CNN chapter of the book and then read a research paper that uses CNNs with dilated convolutions to account for contextual information:
- tutorial: http://www.deeplearningbook.org/contents/convnets.html
- presenter: Chakra
- tutorial: quick overview of CNNs as relevant to paper
- research: https://arxiv.org/pdf/1511.07122.pdf
- presenter: ??
- research: https://arxiv.org/pdf/1509.06321.pdf
- optional: http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0130140#sec002
- presenter: David Koes
- Tutorial: http://www.deeplearningbook.org/contents/optimization.html
- research: TBD
- Tutorial: https://www.coursera.org/learn/probabilistic-graphical-models
- Presenter : Fattaneh
- Research: TBD (perhaps GAN paper)