Trustworthy Deep Learning

Trustworthy Deep Learning

https://www.youtube.com/@AAmini/videos via YouTube Direct link

- Introduction and Themis AI

1 of 18

1 of 18

- Introduction and Themis AI

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Classroom Contents

Trustworthy Deep Learning

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

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