Kubernetes with OpenShift 101: Exercises to enhance your apps with machine learning

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With containers, you can create a clean, virtual environment to set up and train your neural networks in. Then, you can deploy the neural networks at scale with the exact same same environment. Article by Mo Haghighi.

This tutorial can help you understand how to deploy and manage a machine learning app on Minishift and Red Hat® OpenShift® on IBM Cloud™. When you complete the exercises, you will know how to do the following tasks:

  • Recognize handwritten digits with Keras+, the MNIST dataset
  • Build a neural network
  • Deploy the neural network
  • Deploy the app to Minishift
  • Train the neural network

GitHub repository with the code is also available. Excellent!

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Tags machine-learning data-science big-data