A repository with examples to run on Kubeflow at ml.cern.ch.
This repository contains basic examples to get on board with using Kubeflow and its various components.
The idea is that examples from here run out-of-the-box.
The explanation and instructions how to run the examples are below.
If all the examples run as suggested here, you can be sure that Kubeflow cluster is stable.
Then users can try out custom examples.
If some of the examples fail to run, please get in touch to [email protected]
The MNIST database is a large database of handwritten digits that is commonly used for training various image processing systems.
The database is also widely used for training and testing in the field of machine learning.
In the examples here, MNIST database will be used.
Various neural network models will be trained using this database.
The trained models are not the best performers, they are here for testing the Kubeflow environment.
- Connect to one of the created Notebook Servers on https://ml.cern.ch/_/jupyter/
- Open Terminal
- Clone this repository:
git clone https://gitlab.cern.ch/ai-ml/examples