Leveraging Multiple Dimensions - Matthew Zeiler, Clarifai - Deep Learning Summit
Автор: RE•WORK
Загружено: 2015-11-06
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This presentation took place at the Deep Learning Summit in London on 24-25 Sept 2015: https://www.re-work.co/events/deep-le... #reworkDL
It is well understood that automation is needed to cope with the exponential growth in data being generated. At Clarifai, we’ve built a flexible deep learning infrastructure based on state of the art image classification. Our technology continues to evolve and tackle many new problems by leveraging different data sources and novel algorithms. This presentation will discuss some of the recent performance improvements of the system and how it can be leveraged in a variety of real world applications to improve how industry and consumers alike manage their data.
Clarifai was founded by Matt Zeiler, an U of Toronto and NYU alumnus who worked with several pioneers in neural networks, and Adam Berenzweig, who left Google after 10+ years where he worked on Goggles and visual search.
Matthew Zeiler, PhD, Founder and CEO of Clarifai Inc. studied machine learning and image recognition with several pioneers in the field of deep learning at University of Toronto and New York University. His insights into neural networks produced the top 5 results in the 2013 ImageNet classification competition. He founded Clarifai to push the limits of practical machine learning, which will power the next generation of intelligent applications and devices.
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