introduction to deeplearning4j
TRANSCRIPT
● 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
● Fraud Detection
● Recommender Systems
● Image Recognition
● Predictive Analytics○ Market Forecasting○ Churn/Turnover
DEEP LEARNING USE CASESGENERAL USE CASES
● TELECOM ○ FRANCE TELECOM’S MOBILE UNIT
ORANGE
● DATA CENTER○ CANONICAL & IBM
● BANK ○ LARGE U.S. BANK
DEEP LEARNING USE CASESCASE STUDIES
● 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
CONTAINERIZED DEEP LEARNING FOR ANY PLATFORM
● ON PREMISE● PUBLIC CLOUD
○ AWS○ AZURE○ GCE
● HYBRID CLOUD● DESKTOP
○ WINDOWS○ MAC
● ANDROID
DOCKER
DC/OS + SPARK
MESOS
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