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TensorFlow: A Flexible, Scalable & Portable System
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| by Rajat Monga Follow 0 Followers on Dec 17, 2016 |

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Rajat Monga talks about why engineers at Google built TensorFlow, an open source software library for numerical computation using data flow graphs, and what were some of the technical challenges in building it. TensorFlow leverages a general computational model that is applicable in a wide variety of other domains, especially for performing large-scale numerical computations.

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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 towards General AI. Prior to Google, he worked as a chief architect and director of engineering at Attributor.

Software is changing the world. QCon empowers software development by facilitating the spread of knowledge and innovation in the developer community. A practitioner-driven conference, QCon is designed for technical team leads, architects, engineering directors, and project managers who influence innovation in their teams.

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