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QUASI-RECURRENT NEURAL NETWORK BASED ENCODER-DECODER MODEL
QUASI-RECURRENT NEURAL NETWORK BASED ENCODER-DECODER MODEL
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机译:基于准现存神经网络的编解码器模型
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摘要
The technology disclosed provides a quasi-recurrent neural network (QRNN) encoder-decoder model that alternates convolutional layers, which apply in parallel across timesteps, and minimalist recurrent pooling layers that apply in parallel across feature dimensions.
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