TensorFlow: Machine Learning for Everyone, Rajat Monga 20160222

Rajat Monga, TensorFlow Technical Lead & Manager, Google TensorFlow™ is an open source software library for numerical computation using data flow graphs. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. TensorFlow was developed by researchers and engineers working on the Google Brain Team for the purposes of conducting machine learning and deep neural networks research. Website: https://www.tensorflow.org Source Code: https://github.com/tensorflow/tensorflow WhitePaper: https://www.tensorflow.org/whitepaper2015.pdf Speaker Bio Rajat Monga works on the Google Brain Team, where he is the Technical Lead and Manager for TensorFlow - an open source machine learning library, and the center of Google’s efforts at scaling up deep learning. He is particularly interested in enabling smarter devices. Prior to Google, as the Chief Architect and Director of Engineering at Attributor, Rajat hired the founding engineering team, and led the labs and operations to design and build Attributor's core matching engine. As a veteran developer Rajat has worked at eBay, Infosys, and a number of startups. https://www.linkedin.com/in/rajatmonga Rajat Monga gave a similar presentation for Data Science Camp 2016 http://www.meetup.com/SF-Bay-ACM/events/228392491/ http://www.sfbayacm.org/event/2016-02-22-0