QRNN A Potential Competitor to the Transformer
Transformer的潜在竞争对手QRNN论文解读，训练更快的RNN 使用递归神经网络（RNN）序列建模业务已有很长时间了。 但是RNN很慢因为他们一次处理一个令牌无法并行化处理。 此外，循环体系结构增加了完整序列的固定长度编码向量的限制。 为了克服这些问题，诸如CNN-LSTM，Transformer，QRNNs之类的架构蓬勃发展。 在本文中，我们将讨论论文“拟递归神经网络”（https://
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相关文章
- 1. Transformer-XL: Unleashing the Potential of Attention Models
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