A Lightweight Cloud Execution Stack for Neural Network Simulation
Abstract
This paper presents an execution stack for neural network simulation using Cloud container orchestration and microservices. User (or other systems) can employ it by simple RESTful service calls. This service oriented approach allows easy and user-friendly importing, training and evaluating of arbitrary neural network models. This work is influenced by N2Sky, a framework for the exchange of neural network specific knowledge and is based on ViNNSL, the Vienna Neural Network Specification Language, a domain specific neural network modelling language. The presented execution stack runs on many common cloud platforms. It is scalable and each component is extensible and interchangeable.
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- Nussbaum, Benjamin
- Schikuta, Erich
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Shortfacts
Category |
Paper in Conference Proceedings or in Workshop Proceedings (Paper) |
Event Title |
25th International Conference on Neural Information Processing (ICONIP 2018) |
Divisions |
Workflow Systems and Technology |
Subjects |
Webentwicklung, Webanwendungen Kuenstliche Intelligenz |
Event Location |
Siem Reap, Cambodia |
Event Type |
Conference |
Event Dates |
13-16 Dec 2018 |
Date |
December 2018 |
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