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Asynchronous dual-pipeline deep learning framework for online data stream mining.

ADLStream is a novel asynchronous dual-pipeline deep learning framework for data stream mining. This system has two separated layers for training and testing that work simultaneously in order to provide quick predictions and perform frequent updates of the model. The dual-layer architecture allows to alleviate the computational cost problem of complex deep learning models, such as convolutional neural networks, for the data streaming context, in which speed is essential.

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