The Deep Learning Revolution 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2025

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Terrence J. Sejnowski 作者

MIT

譯者

2018-6-22 出版日期

280 頁數

$27.95 價格

Hardcover

叢書系列

9780262038034 圖書編碼

The Deep Learning Revolution 在線電子書圖書標籤: 人工智能 MIT AI learning Psychologia Deep 數學和計算機 2019

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發表於2025-02-19

The Deep Learning Revolution 在線電子書 epub 下載 mobi 下載 pdf 下載 txt 下載 2025

The Deep Learning Revolution 在線電子書 epub 下載 pdf 下載 mobi 下載 txt 下載 2025

The Deep Learning Revolution 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2025

The Deep Learning Revolution 在線電子書用戶評價

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"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."

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god damn crazy, wonderful articles!respect!

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超級硬核的一本書，作者是一個轉行Neuroscience關注AI領域的物理學傢，主要介紹Neuroscience和Deeplearning結閤的幾個研究領域，雖然有幾個算法還有芯片那一部分沒特彆弄懂，但是總體來說非常開闊眼界，獲得新知。“Nature/ evolution is cleverer than we are”，AI發展獲得巨大進步主要還是依靠研究大腦的工作原理，從而進行算法模擬，真道法自然。看完之後對brain function 好上頭。

The Deep Learning Revolution 在線電子書著者簡介

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).

The Deep Learning Revolution 在線電子書著者簡介

The Deep Learning Revolution 在線電子書 pdf 下載 txt下載 epub 下載 mobi 在線電子書下載

The Deep Learning Revolution 在線電子書圖書描述

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 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.

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