Analysis of Intelligent Machines using Deep learning and Natural Language Processing

Manjunath R. Kounte, Pratyush Kumar Tripathy, Pramod P, Harshit Bajpai
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引用次数: 3

Abstract

Intelligent Machines are playing an important role in performing various activities in the industry thereby reducing the human efforts, error rate and increase the efficiency and accuracy. Artificial Intelligence is the backbone for development of intelligent machines which use natural language processing and deep learning as fundamental tools. In this paper, we present the new perspective of intelligent machines in everyday usage, along with the importance of understanding the natural language and generating machine level natural language for intelligent machines. Further, we summarize an overview of deep learning concurrent neural network and recurrent neural network models. Also, we review the significance of sentimental analysis using natural language processing and the ability of machines to take decisions and solve problems.
使用深度学习和自然语言处理的智能机器分析
智能机器在执行各种行业活动中发挥着重要作用,从而减少了人类的努力,错误率,提高了效率和准确性。人工智能是使用自然语言处理和深度学习作为基本工具的智能机器发展的支柱。在本文中,我们提出了智能机器在日常使用中的新视角,以及理解自然语言和为智能机器生成机器级自然语言的重要性。此外,我们总结了深度学习并发神经网络和循环神经网络模型的概述。此外,我们回顾了使用自然语言处理的情感分析的重要性以及机器做出决策和解决问题的能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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