One of the major objectives of Artificial Intelligence is to design learning algorithms that are executed on a general purposes computational machines such as human brain. Neural Turing Machine (NTM) is a step towards realizing such a computational machine. The attempt is made here to run a systematic review on Neural Turing Machine. First, the mind-map and taxonomy of machine learning, neural networks, and Turing machine are introduced. Next, NTM is inspected in terms of concepts, structure, variety of versions, implemented tasks, comparisons, etc. Finally, the paper discusses on issues and ends up with several future works.
翻译：人工智能的主要目的之一是设计一般目的的学习算法,这些算法是人脑等计算机器。神经外观机(NTM)是实现这种计算机器的一个步骤。在这里试图对神经外观机进行系统审查。首先,引入了机器学习、神经网络和图灵机的思维图和分类。接着,对NTM进行了概念、结构、版本种类、执行的任务、比较等方面的检查。最后,文件讨论了各种问题,最后提出了若干未来工作。
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