Classify interactive images with Jupyter Notebook on Red Hat OpenShift AI

Learning path | 3 resources | 30 mins | Published on May 10, 2025
Ramakrishna Yekulla Alex Krikos Ian Lawson

Jupyter Notebook works with OpenShift AI to interactively classify images. In this learning path, you will use TensorFlow and ipywidgets to simulate real-time data streaming and visualization and interact directly with AI models.

Try it in our Developer Sandbox

  1. Overview: Classify interactive images with Jupyter Notebook on Red Hat OpenShift AI
  2. Launch JupyterLab and prepare your dataset Page | 10 mins
  3. Real-time data streaming models with AI applications Page | 20 mins

Overview: Classify interactive images with Jupyter Notebook on Red Hat OpenShift AI

Classify-Jupyter-Notebook-lp-feature-image

This learning path demonstrates how to use functionality within Red Hat OpenShift AI to interactively classify images of cats and dogs. We leverage TensorFlow and ipywidgets to simulate real-time data streaming and visualization. Learners can interact directly with AI models, gaining insights into how machine learning algorithms process and classify data in real time.

Prerequisites:

In this learning path, you will:

  • Launch JupyterLab within OpenShift AI.
  • Prepare a dataset.
  • Build a model.
  • Test a dataset.
  • Identify misclassifications.
  • Modify your model.