Att-LSTM:Att-LSTM和分层式Att-LSTM-源码
Att-LSTM的示意图
分层式Att-LSTM的示意图
要求
的Python 3.5.2
数据集
Hochreiter＆Schmidhuber提出了“添加问题”，并随机创建数据集。
手写数字分类（MNIST）的顺序版本，由tensorflow下载。
数据集是最常见的问题分类。
MSQC数据集是从提取的。
用法
训练模式
添加问题用法python test_add.py
棉选项
batch_size ：批量大小。 默认值为20。
step_size ：输入的长度，在我的论文中称为T。 在{100,200,400,600}中检查该值。
input_size ：输入的维数。 预设值为2。
output_size ：输出的尺寸。 默认值为1。
unit_size ：隐藏的单位数。 默认值为100。
learning_rate ：学习率。 默认值为0.001。
epoch_n
文件下载
资源详情
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