Deep neural networks on mobile
This repo is work in progress and currently migrated here from my several private repos
This repository is meant to be a playground for mobile deep learning. It compares and analyzes state-of-the-art mobile deep learning frameworks with focus on Android, iOS and mobile browsers.
The project is structured as a mono-repo and consists of the following sections:
dnnmobile-app-android: contains the android appdnnmobile-app-ios: contains the ios appdnnmobile-app-web: contains the web appcommon: contains the preprocessing of datasets and training of neural network models in form of docker containers and jupyter notebooks.
Exploring mobile deep learing
Mainly, there are there populare mobile deep learning libraries Tensorflow Lite, PyTorch Mobile as well as Core ML, all having differences in their capabilities.
| Library | Company | Platform | on-device inference | on-device training |
|---|---|---|---|---|
| Tensorflow Lite | Android, iOS, embedded | ✓ | ✓ (transfer) | |
| PyTorch Mobile | Android, iOS | ✓ | ✗ | |
| Core ML | Apple | iOS | ✓ | ✓ (transfer) |
Setup
tba.
Roadmap
- add pytorch preprocessing
- add pytorch to android
- add iOS project
- add web project
- add datasets
- extend documentation
- add popular models (e.g. MobileNet)
- add benchmarking
- tba.