图书标签: 人工智能 MIT AI learning Psychologia Deep 数学和计算机 2019
发表于2024-11-22
The Deep Learning Revolution pdf epub mobi txt 电子书 下载 2024
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 enormus 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.
Terrence J. Sejnowski holds the Francis Crick Chair at the Salk Institute for Biological Studies and is a Distinguished Professor at the University of California, San Diego. He was a member of the advisory committee for the Obama administration's BRAIN initiative and is President of the Neural Information Processing (NIPS) Foundation. He has published twelve books, including (with Patricia Churchland) The Computational Brain (25th Anniversary Edition, MIT Press).
god damn crazy, wonderful articles!respect!
评分god damn crazy, wonderful articles!respect!
评分"Neural nets are often too complex to explain their decisions in relatable terms, they can perpetuate social discrimination if trained on biased data, and they can be used for autonomous weapons that might become trigger-happy. Granted, humans are also opaque, unfair and ornery."
评分与其说这本书回顾了半个多世纪来深度学习的发展,不如说这是一本深度学习和脑神经科学的科普书。深度学习涉及的每个领域基本都介绍了,当然部分章节不是特别深入,比如第十七章关于 NLP 的内容。总体来说,是一本非常棒的科普书,适合快速了解 AI 再过去半个多世纪的发展历程。读完再也不会被一知半解的媒体忽悠了。
评分god damn crazy, wonderful articles!respect!
作者是深度学习领域的领军人物,本书可以算是作者写的人工智能简史,涉及到作者参与的一些项目,作者跟许多业内知名科学家都有学术交往。 书中涉及到一些人工智能算法的基本原理,没学过高数、没有编程基础的读者恐怕是比较难看懂的。不过看不懂可以跳过去,至少一些学术发展的...
评分看到王勇老师的朋友圈的推荐买了这本书,在人工智能深度学习领域炽热的今天读这本书倒比较应景,约汉森顿,杨卫坤和约书亚获得了2018年的图灵奖,为深度学习在人工领域的高潮添加了一颗明珠。作为和约汉森顿交流合作颇多的作者而言,出这本书颇合时宜。 去年读了一本人工智能诸...
评分文 / 董小琳 前几天,在微博上看到这样一则新闻: 回想起自己,曾经夹着三支笔抄作业的情景。不得不说,生在触屏时代的孩子们,简直太幸福了。 那么,在羡慕之余,不知你是否发现了:近两年兴起的人工智能,在成人眼中,是“抢饭碗”的威胁。可到了小朋友那里,却自然地变成了...
评分作者是深度学习领域的领军人物,本书可以算是作者写的人工智能简史,涉及到作者参与的一些项目,作者跟许多业内知名科学家都有学术交往。 书中涉及到一些人工智能算法的基本原理,没学过高数、没有编程基础的读者恐怕是比较难看懂的。不过看不懂可以跳过去,至少一些学术发展的...
评分智能来自于哪里,是设计而来,还是学习演化而来?这个问题可能不好回答,所以把它拆解为两个更容易回答的小问题。第一个是人类智能来自于哪里,是设计而来,还是学习演化而来?长期以来,宗教不断告诉人们,既然人是上帝等神秘力量造出来的,人的智能当然也是拜其所赐,这些强...
The Deep Learning Revolution pdf epub mobi txt 电子书 下载 2024