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Daehyun Kim
daehyun@skymind.io
● SKYMIND
○ Deep Learning for enterprise
○ founded by Adam Gibson and Chris Nicholson
● Daehyun Kim
○ DL engineer
● Christine Leigh
○ Head of Biz dev., Korea
WHO WE ARE
● WHAT IS AI?
● USE CASES
● WHAT WE DO
● DL4J
● DL IN PRODUCTION
● SKYMIND SERVICES
OVERVIEW
WHAT IS AI?
A SKYMIND TUTORIAL
● Fraud Detection
● Recommender Systems
● Image Recognition
● Predictive Analytics
○ Market Forecasting
○ Churn/Turnover
DEEP LEARNING USE CASES
GENERAL USE CASES
● TELECOM
○ FRANCE TELECOM’S MOBILE UNIT
ORANGE
● DATA CENTER
○ CANONICAL & IBM
● BANK
○ LARGE U.S. BANK
DEEP LEARNING USE CASES
CASE STUDIES
WE BUILT DEEPLEARNING4J
THE MOST WIDELY USED AI
FRAMEWORK FOR JAVA
WHAT WE DO
DEEP LEARNING WORK FLOW
SKYMIND ECOSYSTEM FOR DEVELOPING MODEL
DEEP LEARNING FRAMEWORKS GROWTH
POPULARITY GROWTH
MAJOR DEEP LEARNING LIBRARIES
COMPARED
● In Academia vs. Production
● Data Scientists vs. Engineers
● Defining Production
● A solution
DEEP LEARNING IN PRODUCTION
● Secure, production-ready deep learning workflows
for finance, healthcare, retail, manufacturing, telcos.
ENTERPRISE DEEP LEARNING
- Skymind’s open-source enterprise distribution
- contains all of the necessary open-source components and proprietary
vendor integrations to build production-grade deep learning solutions.
SKYMIND INTELLIGENCE LAYER (SKIL)
DEFINITION
SKYMIND INTELLIGENCE LAYER (SKIL)
REFERENCE ARCHITECTURE
CONTAINERIZED DEEP LEARNING FOR
ANY PLATFORM
● ON PREMISE
● PUBLIC CLOUD
○ AWS
○ AZURE
○ GCE
● HYBRID CLOUD
● DESKTOP
○ WINDOWS
○ MAC
● ANDROID
DOCKER
DC/OS + SPARK
MESOS
SKYMIND SERVICES
● DEEP LEARNING
● SKYMIND
● DEEPLEARNING4J
● SKIL
CONCLUSION
http://skymind.ai
http://deeplearning.org
https://gitter.im/deeplearning4j/deeplearning4j
https://gitter.im/deeplearning4j/deeplearning4j/
deeplearning4j-kr
MORE INFORMATION
Written by Skymind’s
Adam Gibson and Josh Patterson.
#1 New Release
in Data Modeling and Design
on Amazon.
DEEP LEARNING : A PRACTITIONER’S
APPROACH
NEXT MEETUP SOON
WITH TOPICS
YOU MIGHT BE INTERESTED
NEXT MEETUP
Introduction to Deeplearning4j

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Introduction to Deeplearning4j