摘要
深度学习是模仿人脑神经元结构而建立的一个人工神经系统,能够通过多个网络分层逐级处理外界输入信息,具有强大的自我学习能力。深度学习被广泛运用于各个领域之中,如人机博弈、语音识别、图像识别、自然语言处理等,都取得相当不错的成果。通过对深度学习过去的发展以及现在的应用进行简要介绍,希望能有更多人关注和了解深度学习。
Through imitating the Neuronal structure in human's brain, deep learning boasts powerful self-learning ability characterized by processing external information with hierarchical networks. Deep Learning has been widely used and reaped fruitful outcomes in various fields including man vs machine, voice recognition, image recognition, natural language processing and etc. Aims to briefly summarize the past development and current application of deep learning with a view to attracting more people’s attention and deepen their understanding on this specific topic.
作者
陈仲为
CHEN Zhong-wei(School of Computer Science and Technology, Wuhan University of Science and Technology, Wuhan 430070)
出处
《现代计算机》
2019年第17期46-50,共5页
Modern Computer
关键词
机器学习
人机大战
深度学习
语音识别
图像识别
自然语言处理
Machine Learning
Man vs. Machine
Deep Learning
Voice Recognition
Image Recognition
Natural Language Processing
