Deep Learning on Mobile: Tech Talks
Some tech talks on mobile machine learning in English and Russian languages to extend your WWDC ML playlist.
Getting Started with Machine Learning in your iOS apps
Meghan Kane
App Builders Switzerland 2017
Topics: iOS, ML intro
On-device machine learning: TensorFlow on Android
Yufeng Guo
dotAI 2017
Topics: TensorFlow, Android
A Guide to Running Tensorflow Models on Android
Topics: TensorFlow, Android
Mobile and Embedded TensorFlow
Pete Warden, Google
TensorFlow Dev Summit 2017
Topics: TensorFlow, iOS, Android
On-device machine learning: TensorFlow on Android
Yufeng Guo, Google
Google Cloud Next ‘17
Topics: TensorFlow
Android Meets TensorFlow: How to Accelerate Your App with AI
Google I/O ‘17
On-device Mobile ML Deployment
Caffe2 Bay Area Meetup Session 3
5/31/2017
Topics: Caffe 2, Android
Artisto: опыт запуска нейросетей в production
Эдуард Тянтов, Mail.ru Group
HighLoad++ 2016
Ноябрь 2016
Topics: Style transfer, Real-time video processing
[Transcript and slides] (https://habrahabr.ru/company/oleg-bunin/blog/334530/)
Highload на GPU, опыт Vinci
Олег Илларионов, ВКонтакте.
HighLoad++ 2016
Ноябрь 2016
Topics: Style transfer, Torch7
Глубокие нейронные сети и мобильные платформы
Александр Баев, Samsung
AI Ukraine 2016
8 Октября 2016
Topics: Prunning, Quantized neural networks
Машинное обучение для iOS
Александр Сосновщенко
uaMobiTech 2015
2015
Topics: Word2Vec, ML intro
Deep Compression
Song Han, Stanford University
Deep Compression, DSD Training and EIE: Deep Neural Network Model Compression, Regularization and Hardware Acceleration
Toward Efficient Deep Neural Network Deployment: Deep Compression and EIE
Deep Compression and EIE: Deep Neural Network Model Compression and Hardware Acceleration
Stanford Seminar