Lukas Biewald on Founding Weights & Biases and FigureEight - Full Stack Deep Learning - March 2019

Lukas Biewald on Founding Weights & Biases and FigureEight - Full Stack Deep Learning - March 2019

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Adversarial Systems

25 of 53

25 of 53

Adversarial Systems

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Lukas Biewald on Founding Weights & Biases and FigureEight - Full Stack Deep Learning - March 2019

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  1. 1 Introduction
  2. 2 Lukass career
  3. 3 Hacker cred
  4. 4 AI is working
  5. 5 People making ludicrous predictions
  6. 6 Speech
  7. 7 Brands
  8. 8 CocaCola
  9. 9 Face Recognition
  10. 10 Blue River
  11. 11 Oxy
  12. 12 Personalized Medicine
  13. 13 Siobhans OS
  14. 14 Problems with FigureEight
  15. 15 Deep Learning vs ML
  16. 16 Space Odyssey
  17. 17 Netflix Prize
  18. 18 Selfdriving cars
  19. 19 Machine learning can be unpredictable
  20. 20 Puppy vs Bagel
  21. 21 Alphago
  22. 22 Tesla
  23. 23 Criminal Risk Scores
  24. 24 How to Inspect Systems
  25. 25 Adversarial Systems
  26. 26 Machine Learning Requires Training Data
  27. 27 Peter Norvig
  28. 28 Not hiring annotators
  29. 29 Cleaning your data
  30. 30 Data science joke
  31. 31 Andre Karpati
  32. 32 Lukass last compiler error
  33. 33 Why do we do it
  34. 34 Looking at more data
  35. 35 Realworld breakthroughs
  36. 36 Free datasets
  37. 37 Humans vs Computers
  38. 38 Design Patterns
  39. 39 Training
  40. 40 Human Loop System
  41. 41 Real Case Study
  42. 42 Better Tools Platforms
  43. 43 SageMakers
  44. 44 YouTube Channel
  45. 45 Medical Applications
  46. 46 FigureEight
  47. 47 ImageNet
  48. 48 Cancer Images
  49. 49 Microwave Oven
  50. 50 Selfdriving suitcase
  51. 51 How to ship deep learning projects
  52. 52 Contact Lukas Biewald
  53. 53 Lukas Biewald on Labeling

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