"It's obviously not perfect," Thoutt told Sam Hill over at Motherboard. "It isn't building a long-term story and the grammar isn't perfect. But the network is able to learn the basics of the English language and structure of George R.R. Martin's style on its own."
Thoutt在接受Motherboard采访时告诉山姆•希尔,“这个算法显然并不完美,它不能编写长篇故事,语法也有问题。但是神经网络可以自学英语的基本语言知识以及马丁的文风结构。”
Neural networks are a type of machine learning algorithm that are inspired by the human brain's ability to not just memorize and follow instructions, but actually learn from past experiences.
神经网络是一种机器学习算法,设计灵感来自于人脑的记忆能力、遵循指令的能力以及从过去经验学习的能力。
A recurrent neural network is a specific subclass, which works best when it comes to processing long sequences of data, such as lengthy text from five previous books.
一个循环神经网络是一个特定的子集,最擅长处理长的数据序列,比如《冰与火之歌》前5部冗长的文本。
In theory, Thoutt's algorithm should be able to create a true sequel to Martin's existing work, based off things that have already happened in the novels.
理论上,Thoutt的算法应该能基于书中已经出现的剧情创作出《冰与火之歌》真正的续集。
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