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In this report, we describe a Theano-based AlexNet (Krizhevsky et al., 2012) implementation and its naive data parallelism on multiple GPUs. Our performance on 2 GPUs is comparable with the state-of-art Caffe library (Jia et al., 2014) run on 1 GPU. To the best of our knowledge, this is the first open-source Python-based AlexNet implementation to-date.
This paper aims to investigate the method to integrate multisensor data in the Internet of Things. It analyzes the characteristics of multisensor data, the requirements and approaches for data integration, and accordingly puts forward the idea of integration. Based on the comparison and contrast between different current technological means, a framework of(More)
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