Overview Before you begin Run Ubuntu Linux on the HiKey 960 Build an Ubuntu filesystem Flash the base firmware and OS Flash the base firmware and OS - recovery mode Flash the base firmware and OS - fastboot mode Boot Linux Add more diskspace MNIST Draw MNIST Draw - Setup MNIST Draw - Machine Learning model MNIST Draw - MNIST demo application Streamline Streamline - Run the MNIST inference Streamline - Use Streamline to connect and profile the application Streamline - Automate the launch and capture Next steps
Next steps
This guide has described how to setup Linux on the HiKey 960 board, build the Arm NN software stack, run ML examples, and use Streamline for performance analysis. You can use what you have learned in this guide to begin writing your own applications using Arm NN.
To explore related areas, look at our how to guides on other ML frameworks such as Caffe, TensorFlow Lite, and ONYX. To ask questions and get help, visit the Machine Learning forum on Arm Community.
To explore related areas, look at our how to guides on other ML frameworks such as Caffe, TensorFlow Lite, and ONYX.
To ask questions and get help, visit the Machine Learning forum on Arm Community.