This guide shows you how to run a TensorFlow model using Arm NN. 

Some familiarization with neural networks and the MNIST dataset is expected. If you are new to either of these, read this TensorFlow introduction and this overview of MNIST.

This guide uses Arm NN to run a model following these steps:

  1. Load and parse the MNIST test set.
  2. Import graph.
  3. Optimize and load onto compute device.
  4. Run graph on device.

The complete example with source code, data and model is available here on GitHub. The guide explains each step of the example code to help you understand each stage of the process. 

At the end of this guide you will be able to run the complete example yourself and use the knowledge you have gained to build and run your own models using Arm NN.