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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.
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.
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.
- 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.
KWS on Cortex M using Tensorflow Lite Micro
Deploy a KWS demo app on a Cortex-M device using TensorFlow Lite for Microcontrollers (TFLM).
- Tutorial on Arm's developer site(Coming soon)
- 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.