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Accelerating Event Detection with DGCNN and FPGAs
2020
Electronics
Recently, Deep Neural Networks (DNNs) have been widely used in natural language processing. However, DNNs are often computation-intensive and memory-expensive. Therefore, deploying DNNs in the real world is very difficult. In order to solve this problem, we proposed a network model based on the dilate gated convolutional neural network, which is very hardware-friendly. We further expanded the word representations and depth of the network to improve the performance of the model. We replaced the
doi:10.3390/electronics9101666
fatcat:uoabndnjgfgf7ajwyozs33f47q