Source code for machine learning tutorials and examples used in Arm's ML developer space.
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
Implement a neural style transfer on Android with Arm NN APIs.
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
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
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.
Deploy a neural network, trained to recognize images that include a fire or flames on a Raspberry Pi, using PyArmNN.
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
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
Deply an image recognition demo on a Discovery STM32F746G board using TensorFlow Lite for Microcontrollers (TFLM) and CMSIS-NN.
Explore gesture recognition with TensorFlow and transfer learning on the Raspberry Pi 4 Model B, Pi 3 and Pi Zero.