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JavaScript & AI, V2
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Yas
September 10, 2019
Programming
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JavaScript & AI, V2
Yas
September 10, 2019
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Transcript
AI & JavaScript No you’re not dreaming
AI & JavaScript No you’re not dreaming
@yashints Or is it?
Lead consultant @TelstraPurple Yaser Adel Mehraban @yashints yashints.dev
Why do it in browser? Wide distribution Interactive Sensors Data
stays on the client
@yashints https://playground.tensorflow.org
@yashints Tensorflow.js
@yashints Allows inference and training entirely in the browser or
Node.js Released March 2018 GPU-accelerated via WebGL TensorFlow.js
@yashints Build your own Run existing models Retrain with transfer
learning
@yashints TF TPU TF GPU Core API WebGL Layers API
Model Browser Node.js TF CPU Keras Model Tensorflow Saved models
@yashints Pre-trained models https://github.com/tensorflow/tfjs-models • MobileNet Object detection • PoseNet
Human pose detection • CocoSSD Object localisation • BodyPix Human segmentation • USE Text classification
@yashints Browser examples
@yashints BodyPix demo
@yashints
@yashints Creatability yas.fyi/2Zl4N2p
@yashints Airbnb
@yashints Speech command
@yashints
@yashints aijs.rocks Asim Hussain � @jawache
@yashints Node.js & Desktop
@yashints yas.fyi/2LUfBkX Magenta Studio
@yashints Retraining in Node.js
@yashints Retraining in Node.js
@yashints Demo
@yashints
@yashints “With Tensorflow.js and web, possibilities are endless, web development
doesn’t have to be boring” “
@yashints References https://www.tensorflow.org/js https://github.com/tensorflow/tfjs-examples https://www.freecodecamp.org/news/tensorflowjs-full-course/ https://codelabs.developers.google.com/ https://yashints.dev/blog/2018/11/27/get-started-with-tensorflowjs Slides https://yas.fyi/2MxNh7z
Reach out Thanks! @yashints yashints.dev