Watson Machine Learning samples

These samples demonstrate using IBM Watson Machine Learning features and IBM Watson Studio tools.

MNIST tutorials

The MNIST tutorials demonstrate basic Watson Machine Learning functionality:

  1. Train a model using Watson Machine Learning specialized, high-performance infrastructure
  2. Deploy a model to Watson Machine Learning
  3. Use the deployed model to classify new images

Multiple tools and features are demonstrated in the MNIST tutorials:

  • Different machine learning and deep learning frameworks
  • Model-building graphical tools in Watson Studio
  • Building models in Python code
  • Watson Machine Learning Python client
  • Watson Machine Learning CLI

See: MNIST tutorials

 

MNIST sample apps

The MNIST samples apps demonstrate how to use models trained in the MNIST tutorials in an application:

  • Deployed function
  • Node.js app
  • Python Flask app
  • Core ML app

See: MNIST sample apps