deep learning use cases - data science pop-up seattle
TRANSCRIPT
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DEEP LEARNINGUSE CASES
SKYMIND - 2015
@deeplearning4j & @skymindio
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#datapopupseattle
UNSTRUCTUREDData Science POP-UP in Seattle
www.dominodatalab.com
D
Produced by Domino Data Lab
Domino’s enterprise data science platform is used by leading analytical organizations to increase productivity, enable collaboration, and publish
models into production faster.
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DEEP LEARNING IS MACHINE PERCEPTION FOR…
TEXT • CRM • SEARCH + • ADS
SOUND • VOICE SEARCH • MUSIC GEN. • TRANSLATION
TIME SERIES • HEALTH DATA • SENSORS • FINANCE
IMAGES • FACES • SELF-DRIVING
VEHICLES
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RECORD-BREAKING ACCURACY• FACIAL RECOGNITION = 97% accuracy • GENERAL IMAGE RECOG. = 93% • SPEECH RECOGNITION = 81% • VIDEO ACTIVITY RECOG. = 52% - 94%
(Varies by dataset) • TEXT CLASSIFICATION = 94%
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NEURAL NETWORKS ARE OLD1943 – First electrical model of a neural network 1958 – Perceptron (Rosenblatt) 1986 – Backpropagation 1990s – Convolutional networks for images (LeCun) 2006 – Deep-belief networks (Hinton)
>> THEN SOMETHING HAPPENED <<
2013 – Google hires Geoff Hinton Facebook hires Yann LeCun 2014 – Google buys DeepMind for $600 million 2015 – IBM partners with Yoshua Bengio
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WHAT HAPPENED? WHY NOW?
DEEP LEARNING WORKS FOR ENTERPRISE
MOREDATA
FASTER HARDWARE
BETTER ALGORITHMS
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Difference
Amount of Data
Per
form
ance
Most Learning Algorithms
Deep Learning
BIG DATA & DEEP LEARNING
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"The biggest disruptor that we are sure about is the arrival of big data and machine intelligence. This disruption will not only change every business globally, it will also have an important impact on the consumer."
Google Chairman Eric Schmidt
THE BIGGEST DISRUPTOR
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VIRTUOUS CIRCLE OF AI
attracts
generate
improves
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• “A breakthrough in machine learning would be worth 10 Microsofts.” - Bill Gates, Microsoft
• “Machine learning is the next Internet.” - Tony Tether, DARPA Director • “Web rankings today are mostly a matter of
machine learning.” - Prabhakar Raghavan, Yahoo Director of Research
• “Machine learning is going to result in a real revolution.” - Greg Papadopoulos, Sun CTO
• “Machine learning is todayʼs discontinuity.” - Jerry Yang, Yahoo
MACHINE LEARNING’S BREAKTHROUGH IS DEEP…
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SPEECH IMAGE TEXT SENSORS
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DEEP LEARNING WILL TRANSFORM
THE INTERNET
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AND THE INTERNET OF THINGS
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VOICE AND IMAGE SEARCH
REQUIRE VOICE AND IMAGERECOGNITION
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IMAGE SEARCH // IMAGE QUERIES
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IMAGE SEARCH + E-COMMERCE
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VOICE SEARCH
CRUCIAL IN DEVELOPING NATIONS
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VOICE + PERSONAL ASSISTANT
CURATED SERVICES (LIKE GOOGLE NOW)
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MORE AND MORE MEDIA
WILL BE DELIVERED IN VIRTUAL CONVERSATION
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LESS AND LESS INFORMATION
WILL PASS THROUGH WEBSITES
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MACHINE VISION IS COMING
SAFER CARS, FEWER DRIVERS
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NETWORKED CARS
COORDINATED TRAFFIC
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CAR <> ENVIRONMENT
RIDER <> CAR
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AUTOMOTIVE USE CASES
Car <> Environment (Keep Things Safe And Moving)
• Machine Vision (Visual, Radar, Lidar) • Geolocation • Traffic Data -> Rerouting • Service Location
Rider <> Car (Monitoring Rider State, Meeting Needs)
• Voice Recognition • Facial Expression Recognition • Transaction History • Recommendation Engine // Search
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COMMERCIAL DRONES
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WHAT WILL YOU COUNT TODAY?
SURVEYS • Land use • Urban development • Property lines • Crop growth
SURVEILLANCE • Large-scale human movements (migrants, commuters) • Campus and on-site security • National Parks (poaching)
PAYLOADS • Goods delivered • Rescue ops in mountains, at sea
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SMART HOMES
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SURVEILLANCE & SECURITY
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MEDICAL IMAGERY& DIAGNOSTICS
$[possible*tumor]
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SOUNDMACHINE TRANSCRIPTION
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SOUNDMACHINE TRANSLATION
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SOUNDMUSIC GENERATION & RECOMMENDATION
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TEXTSPAM FILTERINGDISCOVERY
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TEXT : CUSTOMER RELATIONSHIP MANAGEMENT
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TEXT RECOMMENDATION ENGINES
IMPACT 33% OF SALES @AMAZON
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TEXT SENTIMENT ANALYSIS
REPUTATION, BRAND, POLITICS
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TIME SERIESPREDICTIVE MAINTENANCE
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TIME SERIESENTERPRISE RESOURCE PLANNING
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TIME SERIESHEALTH DATA
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TIME SERIES : ROBOTICS
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TIME SERIES PREDICTIVE FINANCIAL ANALYTICS
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LONG TERM THE SINGULARITY
OR NOT…
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LANDSCAPE FOR DL/ML
MACHINE LEARNING • SKYTREE • BIGML • IBM ALCHEMY • H2O • DATAROBOT • SCALED
INFERENCE • WISE.IO
CLOSED DL • METAMIND • CLARIFAI • ENLITIC
OPEN-SOURCE DL • DEEPLEARNING4J • THEANO (PYTHON) • TORCH (LUA) • CAFFE (C/C++)
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DEEP LEARNING FOR INDUSTRYA
PP
LIC
ATIO
NS
Fraud detection Machine Vision Sentiment Analysis
SKYMIND // DEEP LEARNING
DAT
A S
YS
TEM
RDBMS EDW MPP
SO
UR
CE
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FEATURES
• All major neural nets • RBM, ConvNet, LSTM, RNTN, DBN,
SDA, Deep autoencoder • Composable framework • Hadoop, Spark, Akka integrations • Parallelized GPUs and CPUs • Cross-platform • Apache 2.0 License
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CROSS-PLATFORM
• LINUX (SERVERS) • WINDOWS (DESKTOP) • OSX • ANDROID (MOBILE) • EMBEDDED JAVA (IoT)
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THE FUTURE OF ENTERPRISE AI
An open-source framework. Open source dominates OS with Linux, and big data with Hadoop. Open source will win AI with Deeplearning4j: • Distributed deep learning on GPUs • Serving 10M Java/Scala programmers
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#datapopupseattle
@datapopup #datapopupseattle
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#datapopupseattle
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