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Deep Cellular Recurrent Network for Efficient Analysis of Time-Series Data with Spatial Information
Consequently, this work proposes a novel deep cellular recurrent neural network (DCRNN) architecture to efficiently process complex multi-dimensional time series data with spatial information.
Survey on Deep Neural Networks in Speech and Vision Systems
This survey presents a review of state-of-the-art deep neural network architectures, algorithms, and systems in vision and speech applications.
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