Learn "Anna" using LSTM, and generate a new text.
环境说明：
Python 3.6.3
tensorflow 1.1.0
参数说明：
train.py文件中的以下参数可以进行调整
###参数
n_sequences = 100
n_steps = 100
n_layers = 2
lstm_size = 512
keep_prob = 0.5
learning_rate = 0.001
grad_clip = 5
epoches = 2
save_every_n = 10
generate.py主函数中的以下函数调用中：
sentence = sample(checkpoint,data,n_samples=2000,lstm_size=512,prime='Doctor Sang is')
n_samples #指定要生成的文本的字符数量，可以自己修改
prime #参数是自己初始化的生成文本的起始，可以自己调整
1.模型训练
python train.py
2.文本生成
python generate.py
以下是训练 30 epoch 之后，生成的文本。其中一些词还不正确，因为用字母来生成文本，一个epoch还不够好，要训练多一点轮次，就可以得到更好的文本。
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