Hello, everyone. Welcome to the new ction: Text A: The Ca of AI Development in China.
大家好，欢迎学习本节内容：课文A：中国人工智能发展的案例。
In this ction, we’ll explain three important terms in AI: Deep learning，speech recognition and computer-vision technology in Chine 深度学习，语音识别和计算机视觉技术
在本节中，我们将解释人工智能中的三个重要术语：深度学习、语音识别和计算机视觉技术。
Now let’s explain it one by one.
现在，让我们来逐一讲解。
Deep Learning (DL) is a new rearch direction in the field of machine learning. It has been introduced into machine learning to make it clor to the original goal of AI (Artificial Intelligence).
fields of hopethe lottery深度学习(DL, Deep Learning)是机器学习(ML, Machine Learning)领域中一个新的研究方向。深度学习被引入机器学习，其目的是使其更接近于人工智能的最初目标。
Deep learning is the inherent law and reprentation level of learning sample data. The information obt
ained during the learning process is very helpful to the interpretation of data such as text, image and sound.
深度学习是学习样本数据的内在规律和表示层次。学习过程中获得的信息对诸如文字，图像和声音等数据的解释有很大的帮助。
Its ultimate goal is to enable machines to have the same analytical learning ability as human beings, and to recognize data such as text, images and sounds.
它的最终目标是让机器能够像人一样具有分析学习能力，能够识别文字、图像和声音等数据。
Deep learning is a complex machine learning algorithm, which has achieved much better results in speech and image recognition than previous related technologies.
深度学习是一个复杂的机器学习算法，在语音和图像识别方面取得的效果，远远超过先前相关技术。
Deep learning has achieved a lot in arch technology, data mining, machine learning, machine translation, natural language processing, multimedia learning, voice, recommendation and personalization technology, and other related fields.
深度学习在搜索技术，数据挖掘，机器学习，机器翻译，自然语言处理，多媒体学习，语音，推荐和个性化技术，以及其他相关领域都取得了很多成果。
In-depth learning enables machines to imitate human activities such as audiovisual and thinking, solves many complex pattern recognition problems, and makes great progress in artificial intelligence technology.
深度学习使机器模仿视听和思考等人类的活动，解决了很多复杂的模式识别难题，使得人工智能相关技术取得了很大进步。
Now, I believe that you might have had a good understanding about deep learning.
鸟瞰的意思现在，我相信大家可能已经对深度学习有了较好的理解。
The next term we’ll explain is “speech recognition”xii
guanqi我们要解释的下一个术语是"语音识别"
Speech recognition is an interdisciplinary subject. In the past two decades, speech recognition technology has made remarkable progress, starting from the laboratory to the market.glamorous sky
语音识别是一门交叉学科。近二十年来，语音识别技术取得显著进步，开始从实验室走向市场。学习催眠
It is expected that in the next 10 years, speech recognition technology will enter various fields such as industry, houhold appliances, communications, automotive electronics, medical treatment, home rvices, consumer electronics and so on.
人们预计，未来10年内，语音识别技术将进入工业、家电、通信、汽车电子、医疗、家庭服务、消费电子产品等各个领域。马达加斯加3音乐
The application of speech recognition dictator in some fields has been rated as one of the ten major events of computer development in 1997 by the American press.
语音识别听写机在一些领域的应用被美国新闻界评为1997年计算机发展十件大事之一。
Many experts believe that speech recognition technology is one of the ten most important technologies in the field of information technology from 2000 to 2010.
很多专家都认为语音识别技术是2000年至2010年间信息技术领域十大重要的科技发展技术之一。
The fields of speech recognition technology include signal processing, pattern recognition, probability theory and information theory, sound production
mechanism and auditory mechanism, artificial intelligence and so on.
语音识别技术所涉及的领域包括：信号处理、模式识别、概率论和信息论、发声机理和听觉机理、人工智能等等。
Computer vision is a science that studies how to make the machine "e". To go further, it means to u cameras and computers instead of human eyes to recognize, track and measure the target, and to do further graphic processing, so that computer processing becomes more suitable for human eyes to obrve or transmit to the instrument to detect the image.
计算机视觉是研究如何使机器“看”的科学。更进一步的说，就是指用摄影机和电脑代替人眼对目标进行识别、跟踪和测量对象，并进一步做图形处理，使电脑处理成为更适合人眼观察或传送给仪器检测的图像。
As a scientific discipline, computer vision studies related theories and technologies, trying to build an artificial intelligence system that can obtain ‘information’ from images or multi-dimensional data.
作为一门科学学科，计算机视觉研究相关的理论和技术，试图建立能够从图像或者多维数据中获取‘信息’的人工智能系统。
The information here refers to information defined by Shannon （Claude E.Shannon，the founding father of information theory and digital communications ）that can be ud to help make a "decision".
这里所指的信息指Shannon（香农英文全名为Claude E.Shannon，被誉为信息论及数字通信之父。）定义的，可以用来帮助做“决定”的信息。
Becau perception can be en as extracting information from nsory signals, computer vision can also be en as the science of how to make artificial systems "perceive" from images or multi-dimensional data.
因为感知可以看作是从感官信号中提取信息，所以计算机视觉也可以看作是研究如何使人工系统从图像或多维数据中“感知”的科学。
After the detailed explanation about the three terms in AI, I do hope it will be very helpful for you to understand the article we’re going to learn in the next period of class.
对人工智能的三个术语进行了详细的讲解之后，希望对大家下一节课内容的学习有很大的帮助。why是什么意思
hanako
All right, everyone, that’s all for this ction.
好了，各位，这部分到此结束。
Thank you for watching and welcome to the next period.
感谢您的收看，欢迎您收看下节课程。
