tumakha / conbexnn

Container Based Execution Stack for Neural Networks

Container Based Execution Stack for Neural Networks (ConbexNN)

This a project features web services to train and evaluate neural networks in the cloud using the Kubernetes container orchestration and a Java based microservice architecture.

Local Setup

Setup with Kubernetes 1.18.2 and Docker 19.03.8 as container runtime

See instructions here

Test scenario

See ConbexNN-test-scenario.txt

Demo VM

After Login the VM starts autostart.sh initalizing ConbexNN. The Iris testset and a ViNNSL neural network are automatically imported.

Browser

Firefox is preinstalled and opens predefined Tabs

• Kubernetes Dashboard
• VINNSL-NN-UI (user interface showing imported neural networks)
• Swagger API (documentation of the ConbexNN RESTful interface)
• Status Tab (shows status of imported neural networks)

ConbexNN Endpoints

https://kubernetes.host + endpoint

endpoint	Service
/#/	Vinnsl NN UI
/vinnsl	Vinnsl Service
/status	Vinnsl NN Status
/worker/queue	Worker Queue
/storage	Storage Service
/train/overview	DL4J Training UI (while training)

Postman

Use ConbexNNVM.postman_collection.json