~/talks

Qian Jin

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Bridge the Physical World: Kotlin/Native on Raspberry PiKotlinConf 20192019-12-04
Compiles Kotlin/Native for Raspberry Pi, cross‑compiles from macOS and runs a working rock‑paper‑scissors robot that blinks LEDs, reads buttons and drives…
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Bridge the physical world: Kotlin/Native on Raspberry PiConference for Kotliners 20192019-06-07
A hand robot that plays rock paper scissors runs on a Raspberry Pi compiled from Kotlin/Native, with working LED blink, button callbacks and I2C servo control…
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From TensorFlow to ML Kit: power your Android application with MLDroidKaigi 20192019-02-07
A hands‑on timeline: an app called Magritte is built to recognize daily objects and speak their names using transfer learning and a custom classifier, starting…
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From TensorFlow to ML Kit: power your mobile application with machine learningMobilization 82018-10-26
A side project called Magritte recognizes daily objects on-device and speaks vocabulary; it uses transfer learning on TensorFlow, converts to TensorFlow Lite…
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From ProGuard to R8: Take Care of Your BytecodeAndroid Makers 20182018-04-23
The talk explains differences between ProGuard and R8 for Android bytecode shrinking: ProGuard reduces APK size but often breaks apps when reflection…
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Fire Up Your Smartphone Neurons with On-Device Deep LearningXebiCon'172017-11-30
An Android demo pipeline for on‑device deep learning: train with TensorFlow using transfer learning (MobileNet), export a .pb and label file, serve models via…
Talk in French on
Warm Up Your Smartphone's Neurons with Deep LearningDevFest Nantes 20172017-10-19
A team from Xebia presents a mobile-focused proof of concept that uses deep learning for on-device object recognition. They cover Android Neural Networks API…
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Heat the neurons of your Android smartphone with Deep LearningAndroid Makers 20172017-04-10
An Android Makers 2017 presentation describes a proof-of-concept educational Android app that uses deep learning for image recognition. It covers the mobile…
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