How deep learning--from Google Translate to driverless cars to personal cognitive assistants--is changing our lives and transforming every sector of the economy.The deep learning revolution has brought us driverless cars, the greatly improved Google Translate, fluent conversations with Siri and Alexa, and enormous profits from automated trading on the New York Stock Exchange. Deep learning networks can play poker better than professional poker players and defeat a world champion at Go. In this book, Terry Sejnowski explains how deep learning went from being an arcane academic field to a disruptive technology in the information economy.Sejnowski played an important role in the founding of deep learning, as one of a small group of researchers in the 1980s who challenged the prevailing logic-and-symbol based version of AI. The new version of AI Sejnowski and others developed, which became deep learning, is fueled instead by data. Deep networks learn from data in the same way that babies experience the world, starting with fresh eyes and gradually acquiring the skills needed to navigate novel environments. Learning algorithms extract information from raw data; information can be used to create knowledge; knowledge underlies understanding; understanding leads to wisdom. Someday a driverless car will know the road better than you do and drive with more skill; a deep learning network will diagnose your illness; a personal cognitive assistant will augment your puny human brain. It took nature many millions of years to evolve human intelligence; AI is on a trajectory measured in decades. Sejnowski prepares us for a deep learning future.

深度学习--从谷歌翻译到无人驾驶汽车再到个人认知助理--是如何改变我们的生活并改变经济的每个领域的。深度学习革命给我们带来了无人驾驶汽车，大大改进了谷歌翻译，与Siri和Alexa的流利对话，以及纽约证券交易所自动交易的巨大利润。深度学习网络可以比专业扑克玩家玩得更好，并在围棋上击败世界冠军。在这本书中，特里-塞诺夫斯基解释了深度学习是如何从一个神秘的学术领域变成信息经济中的颠覆性技术的。塞诺夫斯基在深度学习的创立中发挥了重要作用，他是20世纪80年代一小群研究人员中的一员，挑战了当时流行的基于逻辑和符号的人工智能版本。塞诺夫斯基和其他人开发的新版人工智能，即深度学习，是以数据为动力的。深度网络以婴儿体验世界的方式从数据中学习，从新鲜的眼睛开始，逐渐获得导航新环境所需的技能。学习算法从原始数据中提取信息；信息可用于创造知识；知识是理解的基础；理解导致智慧。有一天，一辆无人驾驶汽车将比你更了解道路，并以更高的技能驾驶；一个深度学习网络将诊断你的疾病；一个个人认知助理将增强你微弱的人脑。自然界花了数百万年才进化出人类的智慧；而人工智能的发展轨迹是以几十年为单位的。Sejnowski为我们准备了一个深度学习的未来。

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