SEARCHING FOR BORIS BIKES
Californians wouldn’t know about these
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SEARCHING FOR PARIS & OTHER CITIES
3400 cities with 100k population
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!SCALE
The world’s information...
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DEEP LEARNING: PROBLEM STATEMENT
1 Too many features
2 Too many labels
3 Too much data
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DEEP LEARNING: SOLUTION
1 Unsupervised (mostly)
2 Machine learning for feature extractor
3 Hierarchy of features and pre-training
4 Machine learning for classifier
Based on applying academic work at unprecedented scale
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2K classes from Freebase
5K images per class for training
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GENERALISE
Infer structure and patterns
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Skipping over a ton of other work by other teams and systems to turn this into a useful production service
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CHALLENGES
1 Feedback
2 Finding applications
3 The Highlander test and face recognition
4 The screwdriver test and ethics
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ACCESSIBLE AND USEFUL
“We systematically overestimate the value
of access to information and underestimate
the value of access to each other”
Clay Shirky