N2Sky - A Neural Network Problem Solving Environment Fostering Virtual Resources
Abstract
We present an execution stack for neural network simulation using Cloud container orchestration and microservices, which is provided to users and/or other systems via RESTful webservices. 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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- Fedorenko, Andrii
- Adamenko, Aliaksandr
- Schikuta, Erich
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Shortfacts
Category |
Paper in Conference Proceedings or in Workshop Proceedings (Paper) |
Event Title |
2018 International Joint Conference on Neural Networks (IJCNN 2018) |
Divisions |
Workflow Systems and Technology |
Subjects |
Webentwicklung, Webanwendungen Kuenstliche Intelligenz |
Event Location |
Rio de Janeiro, Brasil |
Event Type |
Conference |
Event Dates |
8-13 July 2018 |
Date |
2018 |
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