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ARM-software / ML-examples

Arm Machine Learning tutorials and examples
https://developer.arm.com/technologies/machine-learning-on-arm
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arm deep-learning deep-neural-networks machine-learning ml neural-network python raspberry-pi raspberry-pi-3

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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.

Arm Style Transfer on Android

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

CMSIS pack based examples for Arm Corstone 300

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

Ethos-U on Corstone 300

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

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.

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.

Pytorch to Tensorflow

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

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.

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.

Yeah, World

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