# ML-examples

**Repository Path**: rick_liang/ML-examples

## Basic Information

- **Project Name**: ML-examples
- **Description**: fork 
- **Primary Language**: Unknown
- **License**: Apache-2.0
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 1
- **Created**: 2020-02-24
- **Last Updated**: 2022-11-28

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# ML Examples

Source code for machine learning tutorials and examples used in [Arm's ML developer space](https://developer.arm.com/technologies/machine-learning-on-arm/developer-material).

## Projects and tutorials

### Arm NN MNIST
Deploy a TensorFlow MNIST model with the Arm NN inference engine.

* [Tutorial on Arm's developer site](https://developer.arm.com/technologies/machine-learning-on-arm/developer-material/how-to-guides/)
* [Source code on GitHub](armnn-mnist/README.md)

### Arm NN Quantised Mobilenet
Deploy a TensorFlowLite Quantized MobileNet V1 model with the Arm NN inference engine.
* Tutorial on Arm's developer site(TBD)
* [Source code on GitHub](armnn-mobilenet-quant/README.md)

### 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](https://developer.arm.com/technologies/machine-learning-on-arm/developer-material/how-to-guides/teach-your-raspberry-pi-yeah-world)
* [Source code on GitHub](yeah-world/README.md)

### 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](https://developer.arm.com/technologies/machine-learning-on-arm/developer-material/how-to-guides/teach-your-pi-multi-gesture)
* [Source code on GitHub](multi-gesture-recognition/README.md)

### CMSIS-NN CIFAR10 model
Deploy a Caffe CIFAR10 model on Arm Cortex-M CPUs.

* [Source code on Github](cmsisnn-cifar10/README.md)