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8-9 Oct 2018: Training
9-11 Oct 2018: Tutorials & Conference
London, UK

TensorFlow for JavaScript (sponsored by Google)

Daniel Smilkov (Google), Nikhil Thorat (Google)
11:05–11:45 Thursday, 11 October 2018
Sponsored, TensorFlow at AI
Location: Buckingham Room - Palace Suite

What you'll learn

  • Explore TensorFlow.js, the recently released JavaScript version of TensorFlow

Description

TensorFlow.js is the recently released JavaScript version of TensorFlow that runs in the browser and Node.js. Daniel Smilkov and Nikhil Thorat offer an overview of the TensorFlow.js ML framework and share a demo of a complete machine learning workflow, including training, client-side deployment, and transfer learning.

This session is sponsored by Google.

Photo of Daniel Smilkov

Daniel Smilkov

Google

Daniel Smilkov is a lead engineer on TensorFlow.js at Google. Previously, he worked at the intersection of visualization and machine learning, with projects like the TensorFlow Graph Visualizer and the Embedding Projector, which are part of TensorBoard, as well as new saliency techniques for neural networks. He holds a master’s degree from the MIT Media Lab.

Photo of Nikhil Thorat

Nikhil Thorat

Google

Nikhil Thorat is a lead engineer for TensorFlow.js—a hardware accelerated machine learning library for JavaScript—at Google. His projects include the Graph Visualizer and the Embedding Projector, which are part of TensorBoard, as well as new saliency techniques for neural networks and visualizations of machine translation models. Previously, he worked on interpretability and visualization of machine learning and Google image search infrastructure.

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