Session Details

W-JAX | 6. - 10. November 2017, München

Kai Waehner

en

07 Nov 2017
10:30 - 11:30
Am 6.11. ist Konferenzbeginn! ✓ 5-Tages-Special ✓ Kollegenrabatt Jetzt anmelden

Deep Learning in Mission-critical and scalable Real Time Applications with Open Source Frameworks

07 Nov 2017
10:30 - 11:30

This talk shows how to productionize Deep Learning models built by data scientists – a key challenge in most companies. The first part introduces Deep Learning using open source frameworks like TensorFlow, Deeplearning4j or H2O. The second part shows how to deploy the built analytic models to mission-critical and scalable real time applications by leveraging Apache Kafka as streaming platform.

Ab jetzt exklusive Neuigkeiten erhalten:

Behind the Tracks

Agile & Culture
Teamwork & Methoden

Big Data & Machine Learning
Speicherung, Processing & mehr

Clouds, Container & Serverless
Alles rund um Cloud

Core Java & JVM Languages
Ausblicke & Best Practices

DevOps & Continuous Delivery
Deployment, Docker & mehr

Microservices
Strukturen & Frameworks

Web Development & JavaScript
JS & Webtechnologien

Performance & Security
Sichere Webanwendungen

Serverside & Enterprise Java
Spring, JDK & mehr

Digital Transformation & Innovation
Technologien & Vorgehensweisen

Software Architecture
Best Practices