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- Uncertainty in deep learning
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Classroom Contents
Trustworthy Deep Learning
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- 1 - Introduction and Themis AI
- 2 - Background
- 3 - Challenges for Robust Deep Learning
- 4 - What is Algorithmic Bias?
- 5 - Class imbalance
- 6 - Latent feature imbalance
- 7 - Debiasing variational autoencoder DB-VAE
- 8 - DB-VAE mathematics
- 9 - Uncertainty in deep learning
- 10 - Types of uncertainty in AI
- 11 - Aleatoric vs epistemic uncertainty
- 12 - Estimating aleatoric uncertainty
- 13 - Estimating epistemic uncertainty
- 14 - Evidential deep learning
- 15 - Recap of challenges
- 16 - How Themis AI is transforming risk-awareness of AI
- 17 - Capsa: Open-source risk-aware AI wrapper
- 18 - Unlocking the future of trustworthy AI
