Deep Learning Use Cases - Data Science Pop-up Seattle

DEEP LEARNINGUSE CASES

SKYMIND - 2015

@deeplearning4j & @skymindio

#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.

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

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%

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

WHAT HAPPENED? WHY NOW?

DEEP LEARNING WORKS FOR ENTERPRISE

MOREDATA

FASTER HARDWARE

BETTER ALGORITHMS

Difference

Amount of Data

Per

form

ance

Most Learning Algorithms

Deep Learning

BIG DATA & DEEP LEARNING

"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

VIRTUOUS CIRCLE OF AI

attracts

generate

improves

• “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…

SPEECH IMAGE TEXT SENSORS

DEEP LEARNING WILL TRANSFORM

THE INTERNET

AND THE INTERNET OF THINGS

VOICE AND IMAGE SEARCH

REQUIRE VOICE AND IMAGERECOGNITION

IMAGE SEARCH // IMAGE QUERIES

IMAGE SEARCH + E-COMMERCE

VOICE SEARCH

CRUCIAL IN DEVELOPING NATIONS

VOICE + PERSONAL ASSISTANT

CURATED SERVICES (LIKE GOOGLE NOW)

MORE AND MORE MEDIA

WILL BE DELIVERED IN VIRTUAL CONVERSATION

LESS AND LESS INFORMATION

WILL PASS THROUGH WEBSITES

MACHINE VISION IS COMING

SAFER CARS, FEWER DRIVERS

NETWORKED CARS

COORDINATED TRAFFIC

CAR <> ENVIRONMENT

RIDER <> CAR

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

COMMERCIAL DRONES

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

SMART HOMES

SURVEILLANCE & SECURITY

MEDICAL IMAGERY& DIAGNOSTICS

$[possible*tumor]

SOUNDMACHINE TRANSCRIPTION

SOUNDMACHINE TRANSLATION

SOUNDMUSIC GENERATION & RECOMMENDATION

TEXTSPAM FILTERINGDISCOVERY

TEXT : CUSTOMER RELATIONSHIP MANAGEMENT

TEXT RECOMMENDATION ENGINES

IMPACT 33% OF SALES @AMAZON

TEXT SENTIMENT ANALYSIS

REPUTATION, BRAND, POLITICS

TIME SERIESPREDICTIVE MAINTENANCE

TIME SERIESENTERPRISE RESOURCE PLANNING

TIME SERIESHEALTH DATA

TIME SERIES : ROBOTICS

TIME SERIES PREDICTIVE FINANCIAL ANALYTICS

LONG TERM THE SINGULARITY

OR NOT…

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++)

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

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

CROSS-PLATFORM

• LINUX (SERVERS) • WINDOWS (DESKTOP) • OSX • ANDROID (MOBILE) • EMBEDDED JAVA (IoT)

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

QUESTIONS?

HELP@SKYMIND.IO

#datapopupseattle

@datapopup #datapopupseattle

#datapopupseattle

Thank You To Our Sponsors