arm-software / ml-examples

Arm Machine Learning tutorials and examples

ML Examples

Source code for machine learning tutorials and examples used in Arm's ML developer space.

Projects and tutorials

Arm NN Mobilenet on Android

Deploy a quantized TensorFlowLite MobileNet V2 model on Android using the Arm NN SDK.

• Tutorial on Arm's developer site(Coming soon)
• Source code on GitHub

Arm Style Transfer on Android

Implement a neural style transfer on Android with Arm NN APIs.

• Tutorial on Arm's developer site
• Source code on GitHub

CMSIS pack based examples for Arm Corstone 300

CMSIS project showing keyword spotting (KWS) and object detection on Arm® Corstone™-300.

• Tutorial on Arm's developer site(Coming soon)
• Source code on GitHub

Ethos-U on Corstone 300

Explore the Arm® Corstone™-300 with Arm® Cortex™-M55 and Arm® Ethos™-U55 NPU.

• Tutorial on Arm's developer site(Coming soon)
• Source code on GitHub

Multi-Gesture Recognition

Train a convolutional neural network from scratch to recognize multiple gestures in a wide range of conditions with TensorFlow and a Raspberry Pi 4 Model B or Pi 3.

• Tutorial on Arm's developer site
• Source code on GitHub

Fire detection on a Raspberry Pi using PyArmNN

Deploy a neural network, trained to recognize images that include a fire or flames on a Raspberry Pi, using PyArmNN.

• Tutorial on Arm's developer site
• Source code on GitHub

Pytorch to Tensorflow

Deploy a Jupyter notebook that will demonstrate how to convert a model trained in PyTorch to Tensorflow Lite format.

• Tutorial on Arm's developer site(Coming soon)
• Source code on GitHub

RNN unrolling for Tf Lite

Deploy a Jupyter notebook that will demonstrate how to train a Recurrent Neural Network (RNN) in TensorFlow, and then prepare it for exporting to Tensorflow Lite format by unrolling it.

• Tutorial on Arm's developer site(Coming soon)
• Source code on GitHub

Image recognition on MBED using CMSIS and TFLM

Deply an image recognition demo on a Discovery STM32F746G board using TensorFlow Lite for Microcontrollers (TFLM) and CMSIS-NN.

• Tutorial on Arm's developer site
• Source code on GitHub

Yeah, World

Explore gesture recognition with TensorFlow and transfer learning on the Raspberry Pi 4 Model B, Pi 3 and Pi Zero.

• Tutorial on Arm's developer site
• Source code on GitHub