Next Generation Web Apps: Create a Machine Learning Powered Smart Cam in the Browser with TensorFlow.js


Learn how to detect common objects in real-time using a TensorFlow.js pre-trained model in your browser to give your next web application superpowers (or to get more eyes on your research). Walk through an end-to-end creation of a smart camera application in this workshop and discover how you can benefit from the reach and scale of the web by performing inference on device in the browser.

Background Knowledge:
Familiarity with HTML, CSS, JavaScript


Jason is the public face of TensorFlow.js, helping web engineers globally take their first steps with machine learning in JavaScript. He also combines his knowledge of the technical and creative worlds to develop innovative prototypes for Google's largest customers and internal teams with over 15 years experience working within web engineering and investigating emerging technologies.

He holds an MEng in Computer Science, is a member of the British Computing Society, and is a certified information privacy technologist. Jason loves sharing knowledge online which has attracted a global following. In his spare time he can be found walking the wings of flying aircraft being one of the few people in the world who has been trained in the art of wing walking.

Open Data Science




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