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.
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.
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.
For exhibition and sponsorship opportunities, email aisponsorships@oreilly.com
For information on trade opportunities with O'Reilly conferences, email partners@oreilly.com
View a complete list of AI contacts
©2018, O’Reilly UK Ltd • (800) 889-8969 or (707) 827-7019 • Monday-Friday 7:30am-5pm PT • All trademarks and registered trademarks appearing on oreilly.com are the property of their respective owners. • confreg@oreilly.com