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artificial intelligence

This class was created by Brainscape user Kiara Shivani. Visit their profile to learn more about the creator.

By: Kiara Shivani
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Decks in this class (22)

chapter 1
Singularity,
Usual worries about ai,
Hofstadter s worries about ai
30  cards
chapter 2
A multilayer neural network consi...,
Deep networks,
What does a unit do
10  cards
chapter 3
Narrow weak ai,
Strong human level general or ful...,
Turing s argument for consciousness
18  cards
chapter 4
What s so hard about object recog...,
The deep learning revolution,
Deep learning
21  cards
chapter 5
Yann lecun,
The pascal visual object classes ...,
Shortcomings of the pascal benchm...
13  cards
chapter 6
The learning from data approach o...,
Gofai learning strategy,
Convnet learning strategy
17  cards
chapter 7
Beneficial ai,
The great ai trade off,
Issues with facial recognition
5  cards
chapter 8
Reinforcement learning,
The promise of reinforcement lear...,
State
13  cards
chapter 9
Deep q learning,
The deep q network dqn,
The state of a dqn
15  cards
chapter 10
Transfer learning,
Deepmind s most important claim a...,
How can we assess how challenging...
5  cards
chapter 11
Natural language processing nlp,
In the 1990s rule based nlp appro...,
Most recently this statistical da...
21  cards
chapter 12
Neural machine translation,
Encoder network,
Decoder network
12  cards
chapter 13
Watson on jeopardy,
The stanford question answering d...,
The allen institute for artificia...
5  cards
chapter 14
Intuitive physics,
Intuitive biology,
Intuitive psychology
11  cards
chapter 15
Douglas lenat s cyc project,
Bongard problems,
Challenges of bongard problems
13  cards
lecture 1
Externalizing a piece of cognitio...,
Mechanical turk,
Analytical engine
18  cards
lecture 2
Neural networks connectionism par...,
Logic gates,
Mccullock pitts neuron assumptions
16  cards
lecture 3
Why are multilayered networks bet...,
Convnets,
Probing cognition with deep neura...
7  cards
lecture 4
Dennett s cognitive wheel,
Intelligence,
Time scales of adaptive behavior
19  cards
lecture 5
Prejudice in ai,
Where do these patterns come from,
Where do patterns come from accor...
9  cards
lecture 6
Creativity is,
Gpt 3,
Creativity score
10  cards
lecture 7
Gpt 3,
Transformer models,
Seq2seq
17  cards

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artificial intelligence

  • Class purpose General learning

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