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- Introduction
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Classroom Contents
Deep Learning New Frontiers
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- 1 - Introduction
- 2 - Course logistics
- 3 - Upcoming hot topics and guest lectures
- 4 - Deep learning and expressivity of NNs
- 5 - Generalization of deep models
- 6 - Neural network failure modes
- 7 - Uncertainty in deep learning
- 8 - Adversarial attacks
- 9 - Algorithmic bias
- 10 - Limitations summary
- 11 - Structure in DL
- 12 - Learning on graphs
- 13 - Learning on 3D pointclouds
- 14 - Automated Machine Learning AutoML
- 15 - Conclusion
