October 28–31, 2019
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TensorFlow.js: Bringing machine learning to JavaScript

Sandeep Gupta (Google), Joseph Paul Cohen (Mila | University of Montreal)
10:00am10:15am Thursday, October 31, 2019
Location: Mission City Ballroom
Average rating: ****.
(4.00, 2 ratings)

JavaScript is the most widely used programming language in the world, and with TensorFlow.js, you can bring the power of TensorFlow and machine learning to your JavaScript application. Sandeep Gupta and Joseph Paul Cohen introduce the TensorFlow.js library and showcase the amazing possibilities of combining machine learning with JavaScript-based web, mobile, and server-side applications.

Photo of Sandeep Gupta

Sandeep Gupta


Sandeep Gupta is a product manager at Google, where he helps develop and drive the road map for TensorFlow—Google’s open source library and framework for machine learning—for supporting machine learning applications and research. His focus is on improving TensorFlow’s usability and driving adoption in the community and enterprise. Sandeep is excited about how machine learning and AI are transforming lives in a variety of ways, and he works with the Google team and external partners to help create powerful, scalable solutions for all. Previously, Sandeep was the technology leader for advanced imaging and analytics research and development at GE Global Research with specific emphasis on medical imaging and healthcare analytics.

Photo of Joseph Paul Cohen

Joseph Paul Cohen

Mila | University of Montreal

Joseph Paul Cohen is a postdoctoral fellow with Yoshua Bengio at Mila and the University of Montreal. Joseph leads the medical research group at Mila, focusing on computer vision, genomics, and clinical data. He holds a PhD in computer science and machine learning from the University of Massachusetts Boston. His research interests include healthcare, bioinformatics, machine learning, computer vision, ad hoc networking, and cybersecurity. Joseph received a US National Science Foundation Graduate Fellowship as well as an IVADO Postdoctoral Fellowship. He’s the director of the Institute for Reproducible Research, which is dedicated to improving the process of scientific research using technology.

  • 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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