full transcript
"From the Ted Talk by Blaise Agüera y Arcas: How computers are learning to be creative"

Unscramble the Blue Letters

So the pelixs you can think about as a first leyar of nrounes, and that's, in fact, how it wokrs in the eye — that's the neurons in the retina. And those feed forward into one layer after another layer, after another layer of neurons, all connected by synapses of different weights. The behavior of this network is characterized by the strengths of all of those synapses. Those characterize the computational peeirrotps of this network. And at the end of the day, you have a neuron or a small group of neurons that light up, saying, "bird."

Open Cloze

So the ______ you can think about as a first _____ of _______, and that's, in fact, how it _____ in the eye — that's the neurons in the retina. And those feed forward into one layer after another layer, after another layer of neurons, all connected by synapses of different weights. The behavior of this network is characterized by the strengths of all of those synapses. Those characterize the computational __________ of this network. And at the end of the day, you have a neuron or a small group of neurons that light up, saying, "bird."

Solution

  1. properties
  2. layer
  3. neurons
  4. pixels
  5. works

Original Text

So the pixels you can think about as a first layer of neurons, and that's, in fact, how it works in the eye — that's the neurons in the retina. And those feed forward into one layer after another layer, after another layer of neurons, all connected by synapses of different weights. The behavior of this network is characterized by the strengths of all of those synapses. Those characterize the computational properties of this network. And at the end of the day, you have a neuron or a small group of neurons that light up, saying, "bird."

ngrams of length 2

collocation frequency
neural network 9
neural networks 3
hallucinates zooms 3

Important Words

  1. behavior
  2. characterize
  3. characterized
  4. computational
  5. connected
  6. day
  7. eye
  8. fact
  9. feed
  10. group
  11. layer
  12. light
  13. network
  14. neuron
  15. neurons
  16. pixels
  17. properties
  18. retina
  19. small
  20. strengths
  21. synapses
  22. weights
  23. works