Language Modeling with Gated Convolutional Networks ( GLU )理解
简介 门控线性单元（GLU）是卷积神经网络中的一种门控机制，与循环神经网络的门控循环单元（GRU）不同的的是更加进行梯度容易传播，不易造成梯度消失或者梯度爆炸。而且在计算时间上也大幅度减少。 GLU计算过程 卷积网络就是对输入进行卷积以获得H = f ∗ w，因此没有时间依赖性，这使得在句子的单个单词上更容易并行化。这个计算过程将根据多个先前单词来计算每个上下文。 与递归网络相比，上下文的大小是有
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