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Recurrent Neural Networks(GRU) for character-level language models on Chinese, in Python/Theano

Python 100.00%

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能提供那个1M的训练语料作为参考吗

楼主，可以把train和sample分开吗就是用训练好的模型生成文本，可以吗？

楼主你好，训练了600次了可生成的文本都是重复的，什么原因呢

楼主你好，把你的代码放到gpu上跑，训练速度好慢啊，大概半个小时才能训练一次，是我机器的原因吗，还是其他原因?

我的运行环境：
ubuntu14.04
一块显卡 GTX 1080
cuda 8.0
theano 0.8.2

能否讲解一下各变量

#首次接触deeplearning，有好多不懂的知识，求大神解惑。
RNN.py
Ws_in,Ws_hh,bs_hh,Ws_in_r,Ws_in_z,Ws_hh_r,Ws_hh_z,bs_z,bs_r,Why,by这些变量分别是什么意思
x = x.T # 这一步没看懂，我知道T是theano.tensor，但x.T是？，目的是？
ps = ps.flatten() #这行也没看懂，目的是什么
sample函数里各变量完全不明白干什么的，h_0，sod，n

代码理解

在RNN.py中的class GRU():def init_params(self)中设置的参数都是什么，只看出来隐层到输出层的

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