October 28–31, 2019

kangyi zhang
Software Engineer, Google

Kangyi Zhang is a software engineer at Google Brain and a member of the TensorFlow.js team. He’s very excited about sharing how to do machine learning in the JavaScript world, concentrating on native TensorFlow execution under the Node.js runtime, and preparing data for machine learning model in JS. You can find him on GitHub @kangyizhang.


2:30pm3:10pm Thursday, October 31, 2019
Location: Great American Ballroom J/K
kangyi zhang (Google), Brijesh Krishnaswami (Google), Joseph Paul Cohen (Mila | University of Montreal), Brendan Duke (ModiFace)
Kangyi Zhang, Brijesh Krishnaswami, Joseph Paul Cohen, and Brendan Duke dive into the TensorFlow.js ecosystem: how to bring an existing machine learning model into your JavaScript (JS) app, retrain the model with your data, and go beyond the browser to other JS platforms with live demos of models and featured apps (WeChat virtual plugin from L’Oréal and a radiology diagnostic tool from Mila). Read more.
  • O'Reilly
  • TensorFlow
  • Google Cloud
  • IBM
  • Databricks
  • Tensor Networks
  • VMware
  • Amazon Web Services
  • One Convergence
  • Quantiphi
  • Lambda Labs
  • Tech Mahindra
  • cnvrg.io
  • Determined AI
  • Inferencery
  • Manceps, Inc.
  • PerceptiLabs
  • Valohai

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