coursera deep learning course5 week1 - 代码天地

coursera deep learning course5 week1

其他 2018-07-23 01:30:46 阅读次数: 0

RNN种类
这里写图片描述
LSTM

LSTM三个门的作用

GRU可以看作LSTM的简化版本，只有两个门

如果想当前的输出与以后的序列有关的话，可以采用BRNN，即双向的RNN

index = j % len(examples) #保证不会溢出
X = [None] + [char_to_ix[ch] for ch in examples[index]] 
Y = X[1:] + [char_to_ix["\n"]]

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转载自blog.csdn.net/yb564645735/article/details/79263839

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