Machine Learning for Mobile Developers

on YouTube ↗36m

" summary

Explains how Firebase ML Kit lets mobile apps run image and text models locally or in Google Cloud, with 400 labels on‑device and 10,000+ labels in cloud, on‑device offering offline support and free usage while cloud gives higher accuracy; integrates with Cloud Functions, Storage and A/B testing so uploads trigger vision checks and automated blur or classification; supports custom TensorFlow Lite models and Android Neural Networks API, with model compression coming, and a mushroom classifier prototype shows custom models are feasible though cloud gives best accuracy.

AI-written summary · about

" chapters (11)

1. 0:00Introduction and speaker intro
2. 1:26AI vs machine learning difference
3. 3:54Machine learning basics for developers
4. 6:47Challenges of using machine learning
5. 10:06Introducing ML Kit
6. 13:44ML Kit with Firebase
7. 17:49Image labeling with ML Kit
8. 21:43On-device vs cloud image recognition
9. 24:55Practical ML Kit use cases
10. 27:50Future of machine learning
11. 31:08Resources and closing

" related talks

• 24mML Kit: Machine learning for mobile developersSachin Kotwani, Isabella Chen · Firebase Summit 2018
• 04mTop 5 reasons to add ML Kit to your Android or iOS appSachin Kotwani · Firebase Summit 2018
• 30mMachine Learning in Android Apps with ML KitFelipe Pedroso · AndroidFest Campinas 2018
• 47mExploring Firebase MLKit on AndroidHiren Dave · GDG DevFest Ahmedabad 2018
• 14mDo you want an easy way to add Machine Learning into your app?Sandra Dupré · Android Makers 2019
• 09mMachine Learning on the EdgeSangeetha KP · CodeLand 2020
• 29mPushing Machine Learning into your app When TensorFlow and MLKit rule the worldSandra Dupré · DevFest Nantes 2018
• 34mIt’s an ML full world! MLKit for Android DevsBritt Barak · DevFest Ukraine 2018