Видео ютуба по тегу On Device Ml

What does on-device AI mean?
What does on-device AI mean?
How to build smarter Android apps with on-device Machine Learning
How to build smarter Android apps with on-device Machine Learning
Intro to On-device Machine Learning (TF Fall 2020 Updates)
Intro to On-device Machine Learning (TF Fall 2020 Updates)
Why inference #ML on device? #shorts
Why inference #ML on device? #shorts
Easy on-device ML from prototype to production (TF Dev Summit '20)
Easy on-device ML from prototype to production (TF Dev Summit '20)
Как оптимизировать, проверять и развёртывать модели машинного обучения на устройстве — Эшвин и Ме...
Как оптимизировать, проверять и развёртывать модели машинного обучения на устройстве — Эшвин и Ме...
TensorFlow Lite for on-device ML (TensorFlow Meets)
TensorFlow Lite for on-device ML (TensorFlow Meets)
WWDC24: Deploy machine learning and AI models on-device with Core ML | Apple
WWDC24: Deploy machine learning and AI models on-device with Core ML | Apple
On-Device ML Study Jam
On-Device ML Study Jam
Getting the best of on-device ML with ML Kit (Android Dev Summit '18)
Getting the best of on-device ML with ML Kit (Android Dev Summit '18)
Easy on-device Machine Learning with MediaPipe
Easy on-device Machine Learning with MediaPipe
Introduction_Memory Device Technology for AI/ML Computing
Introduction_Memory Device Technology for AI/ML Computing
AISEA20: On-device ML with TensorFlow Lite
AISEA20: On-device ML with TensorFlow Lite
ML on-device: Building Efficient Models - Danni Li
ML on-device: Building Efficient Models - Danni Li
On-device ML: Tackling complex use cases with ML Kit (Android Dev Summit '19)
On-device ML: Tackling complex use cases with ML Kit (Android Dev Summit '19)
Android App Dev: On Device AI ML Kit deployment
Android App Dev: On Device AI ML Kit deployment
Train ML Models on Microcontrollers : On-device training under 256KB Memory Paper explained
Train ML Models on Microcontrollers : On-device training under 256KB Memory Paper explained
Matthias Grundmann - On-device ML solutions for Mobile and Web (CV4ARVR 2021)
Matthias Grundmann - On-device ML solutions for Mobile and Web (CV4ARVR 2021)
On Device ML Demo
On Device ML Demo
The limitless possibilities of on-device ML: From accessible toys to grading grapes
The limitless possibilities of on-device ML: From accessible toys to grading grapes