The dominant sequence transduction models are based on complex recurrent
orconvolutional neural networks in an encoder and decoder configuration. The best …

The dominant sequence transduction models are based on complex recurrent or
convolutional neural networks that include an encoder and a decoder. The best performing …

The dominant sequence transduction models are based on complex recurrent or
convolutional neural networks that include an encoder and a decoder. The best performing …

摘要主流序列转导模型基于复杂的循环神经网络或卷积神经网络, 这些神经网络包含一个编码器
和一个解码器. 性能最好的模型还通过attention 机制将编码器和解码器连接起来 …

The dominant sequence transduction models are based on complex recurrent or
convolutional neural networks that include an encoder and a decoder. The best performing …

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The dominant sequence transduction models are based on complex recurrent or
convolutional neural networks that include an encoder and a decoder. The best performing …

The dominant sequence transduction models are based on complex recurrent or
convolutional neural networks in an encoder-decoder configuration. The best performing …

The dominant sequence transduction models are based on complex recurrent or
convolutional neural networks that include an encoder and a decoder. The best performing …

The dominant sequence transduction models are based on complex recurrent or
convolutional neural networks that include an encoder and a decoder. The best performing …