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DESCRIPTION:Click for Latest Location Information: http://smartdata2015.dataversity.net/sessionPop.cfm?confid=91&proposalid=7900\nAs the data world undergoes its cambrian explosion phase our data tools need to become more advanced to keep pace. Deep Learning has emerged as a key tool in the non-linear arms race of machine learning. Applications in text, sensor processing (IoT), image processing, and audio processing have all emerged as prime deep learning applications. In this session we will take a look at a practical review of what is deep learning and how DL4J’s architecture allows the Fortune 500 to easily build deep learning models with large amounts of data on Hadoop and Spark. We’ll also look at practical workflows for building next-generation applications with the DL4J tool suite.
DTSTART:20150818T130000
SUMMARY:How to Build Deep Learning Models
DTEND:20150818T134459
LOCATION: See Description
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