full transcript

From the Ted Talk by Fei-Fei Li: How we're teaching computers to understand pictures

Unscramble the Blue Letters


So for 15 years now, starting from my Ph.D. at Caltech and then leading Stanford's Vision Lab, I've been wrionkg with my meotnrs, collaborators and sudttens to teach computers to see. Our research field is called computer vision and mcinahe leainrng. It's part of the general field of artificial intelligence. So ultimately, we want to teach the machines to see just like we do: naming objects, iinedytfing people, inferring 3D geometry of things, understanding relations, emotions, actions and intentions. You and I weave together entire stories of people, places and things the mmoent we lay our gaze on them.

Open Cloze


So for 15 years now, starting from my Ph.D. at Caltech and then leading Stanford's Vision Lab, I've been _______ with my _______, collaborators and ________ to teach computers to see. Our research field is called computer vision and _______ ________. It's part of the general field of artificial intelligence. So ultimately, we want to teach the machines to see just like we do: naming objects, ___________ people, inferring 3D geometry of things, understanding relations, emotions, actions and intentions. You and I weave together entire stories of people, places and things the ______ we lay our gaze on them.

Solution


  1. mentors
  2. identifying
  3. students
  4. working
  5. moment
  6. learning
  7. machine

Original Text


So for 15 years now, starting from my Ph.D. at Caltech and then leading Stanford's Vision Lab, I've been working with my mentors, collaborators and students to teach computers to see. Our research field is called computer vision and machine learning. It's part of the general field of artificial intelligence. So ultimately, we want to teach the machines to see just like we do: naming objects, identifying people, inferring 3D geometry of things, understanding relations, emotions, actions and intentions. You and I weave together entire stories of people, places and things the moment we lay our gaze on them.

Frequently Occurring Word Combinations


ngrams of length 2

collocation frequency
machine learning 3
computer algorithm 3
neural network 3
computer vision 2
training images 2
data set 2
imagenet project 2
amazon mechanical 2
mechanical turk 2
big data 2
convolutional neural 2
object recognition 2
car prices 2
cat lying 2
baseball bat 2

ngrams of length 3

collocation frequency
amazon mechanical turk 2

Important Words


  1. actions
  2. artificial
  3. called
  4. caltech
  5. collaborators
  6. computer
  7. computers
  8. emotions
  9. entire
  10. field
  11. gaze
  12. general
  13. geometry
  14. identifying
  15. inferring
  16. intelligence
  17. intentions
  18. lab
  19. lay
  20. leading
  21. learning
  22. machine
  23. machines
  24. mentors
  25. moment
  26. naming
  27. objects
  28. part
  29. people
  30. ph
  31. places
  32. relations
  33. research
  34. starting
  35. stories
  36. students
  37. teach
  38. ultimately
  39. understanding
  40. vision
  41. weave
  42. working
  43. years