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good morning everyone Iamp;#39;m Sentinel from City and University and today Iamp;#39;m going to talk about how to conduct the on-demand deep modal compression for device mobile devices through usage dragon model selection framework this work is joined to its rest University and the ETH Zurich as we know machine learning and the cloud computing have has stimulated aloud how intelligent applications on a wider range of mobile and lt devices such as the face ID Siri and the Amazon echo privacy cannot work under a poor Network condition also todayamp;#39;s most accurate and the reverse the recognition are built on the deep learning and so there is a green trainer to bring the deep neural networks powered intelligence to the mobile and local T local devices fibers are successful deep neural network are always in compute intensive and storage exhaustive it cannot fit into the resource constrained mobile devices to trim down the deep neural network complexity the compression technique is
