Seq2Seq模型应用案例（ ：
Seq2Seq是Encoder-Decoder（编码器与解码器）模型，输入是一个序列,输出也是一个序列，适用于输入序列与输出序列长度不等长的场景，如机器翻译、人机对话、聊天机器人等。
本案例参考网友的github代码，实现一个Seq2Seq对话的简单例子，训练模型的语料如下：
编码器语句序列：
['Hi What is your name?', 'Nice to meet you!'],
['Which programming language do you use?', 'See you later.'],
['Where do you live?', 'What is your major?'],
['What do you want to drink?', 'What is your favorite beer?']]解码器语句序列：
['Hi this is Jaemin.', 'Nice to meet you too!'],
['I like Python.', 'Bye Bye.'],
['I live in Seoul, South Korea.', 'I study industrial engineering.'],
['Beer please!', 'Leffe brown!']]Seq2Seq模型代码：
一，创建一个配置类，配置类里面放各种
