Presented By O'Reilly and Cloudera
Make Data Work
March 28–29, 2016: Training
March 29–31, 2016: Conference
San Jose, CA
Rajat Monga

Rajat Monga
Engineering Director, TensorFlow, Google

Rajat Monga leads TensorFlow, an open source machine learning library and the center of Google’s efforts at scaling up deep learning. He is one of the founding members of the Google Brain team and is interested in pushing machine learning research forward toward general AI. Previously, Rajat was the chief architect and director of engineering at Attributor, where he led the labs and operations and built out the engineering team. A veteran developer, Rajat has worked at eBay, Infosys, and a number of startups.

Sessions

4:00pm–4:30pm Tuesday, 03/29/2016
TensorFlow: Machine learning for everyone
Hardcore Data Science
Location: 210 C/G
Tags: ai, deep_learning
Rajat Monga (Google)
Average rating: ***..
(3.71, 14 ratings)
TensorFlow is an open source software library for numerical computation with a focus on machine learning. Rajat Monga offers an introduction to TensorFlow and explains how to use it to train and deploy machine-learning models to make your next application smarter. Read more.
4:20pm–5:00pm Wednesday, 03/30/2016
Office Hour with Rajat Monga, Amy Unruh, and Kazunori Sato (Google)
Office Hours

 Location: Table A (O'Reilly Booth)
Tags: ai, deep_learning
Rajat Monga (Google), Amy Unruh (Google), Kaz Sato (Google)
Googlers Rajat, Amy, and Kazunori can answer all your TensorFlow questions, including how to use TensorFlow to utilize interactive queries on petabyte-sized datasets, empower large-scale distributed training of neural networks, and train and deploy machine-learning models. Read more.