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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 guest lectures
- 4 - Deep learning and expressivity of NNs
- 5 - Generalization of deep models
- 6 - Adversarial attacks
- 7 - Limitations summary
- 8 - Structure in deep learning
- 9 - Uncertainty & bayesian deep learning
- 10 - Deep evidential regression
- 11 - AutoML
- 12 - Conclusion
