The Deep Learning Revolution (Hardcover)

Terrence J. Sejnowski

  • 出版商: MIT
  • 出版日期: 2018-10-23
  • 售價: $1,050
  • 貴賓價: 9.8$1,029
  • 語言: 英文
  • 頁數: 352
  • 裝訂: Hardcover
  • ISBN: 026203803X
  • ISBN-13: 9780262038034
  • 相關分類: DeepLearning
  • 立即出貨 (庫存 < 4)

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商品描述

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.

商品描述(中文翻譯)

深度學習——從Google翻譯到無人駕駛汽車再到個人認知助手——正在改變我們的生活,並改變經濟的每個領域。

深度學習革命帶給我們無人駕駛汽車、大幅改進的Google翻譯、與Siri和Alexa進行流利對話,以及在紐約證券交易所自動交易中獲得巨額利潤。深度學習網絡可以比專業撲克玩家更擅長打撲克,並在圍棋比賽中擊敗世界冠軍。在本書中,Terry Sejnowski解釋了深度學習如何從一個晦澀的學術領域發展成為信息經濟中的一項顛覆性技術。

Sejnowski在深度學習的創立中扮演了重要角色,他是20世紀80年代一小群挑戰當時主流的基於邏輯和符號的人工智能觀點的研究人員之一。Sejnowski和其他人開發的新版本人工智能,即深度學習,取而代之的是以數據為基礎。深度網絡從數據中學習,就像嬰兒以全新的眼光體驗世界,逐漸獲得在新環境中導航所需的技能。學習算法從原始數據中提取信息,信息可以用來創建知識,知識是理解的基礎,理解導致智慧。總有一天,無人駕駛汽車將比你更熟悉道路並駕馭得更熟練;深度學習網絡將診斷你的疾病;個人認知助手將增強你微不足道的人類大腦。自然演化人類智慧花費了數百萬年的時間,而人工智能的發展軌跡則以數十年為度。Sejnowski為我們準備了深度學習的未來。