Sample apps using the models trained in the MNIST tutorials

This topic lists sample apps that demonstrate how to use the IBM Watson Machine Learning Python client or REST API to use deployed models or functions to recognizes hand-drawn digits.

 

Prerequisite

These apps use models created in the MNIST tutorials:

  • The Core ML app uses the Keras model built in the flow editor tutorial
  • The Node.js and Python Flask apps use the TensorFlow model built in any of the tutorials other than the flow editor tutorial and the model builder tutorial

 

Table 1. Sample apps using models created in the MNIST tutorials
Sample app instructions Features demonstrated Files to download
MNIST sample function deployment
  • IBM Watson Machine Learning Python client
  • Online model deployment
  • Online function deployment
MNIST Node.js sample app
  • IBM Watson Machine Learning REST API
  • Online model deployment
  • Online function deployment
MNIST Python Flask sample app
  • IBM Watson Machine Learning Python client
  • Online model deployment
  • Online function deployment
MNIST Core ML sample app
  • Core ML