December 5-7, 2016
Vancouver, Canada

Experimenting with TensorFlow

From implementing new research to validating results, running machine learning experiments can often be a process of trial and error. TensorFlow is an open source computing framework that places state of the art algorithms and tools into developers' hands, allowing you to rapidly iterate experiments, monitor their results, and scale into production. We'll show you how to train machine learning pipelines from conception to release with TensorFlow.

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Breandan Considine

Breandan is a software engineer and developer advocate. He enjoys machine learning, speaking at conferences, and learning from other software developers.

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