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عنوان
The deep learning revolution /

پدید آورنده
Terrence J. Sejnowski.

موضوع
Artificial intelligence-- Social aspects.,Big data.,Machine learning.,54.83 computer aided engineering.,Artificial intelligence-- Social aspects.,Big data.,COMPUTERS-- Database Management-- Data Mining.,Künstliche Intelligenz,Machine learning.,Maschinelles Lernen,Neuronales Netz

رده
Q325
.
5
.
S45
2018

کتابخانه
Center and Library of Islamic Studies in European Languages

محل استقرار
استان: Qom ـ شهر: Qom

Center and Library of Islamic Studies in European Languages

تماس با کتابخانه : 32910706-025

INTERNATIONAL STANDARD BOOK NUMBER

(Number (ISBN
026203803X
(Number (ISBN
9780262038034

TITLE AND STATEMENT OF RESPONSIBILITY

Title Proper
The deep learning revolution /
General Material Designation
[Book]
First Statement of Responsibility
Terrence J. Sejnowski.

.PUBLICATION, DISTRIBUTION, ETC

Place of Publication, Distribution, etc.
Cambridge, Massachusetts :
Name of Publisher, Distributor, etc.
The MIT Press,
Date of Publication, Distribution, etc.
[2018]

PHYSICAL DESCRIPTION

Specific Material Designation and Extent of Item
x, 342 pages :
Other Physical Details
illustrations (chiefly color) ;
Dimensions
24 cm

INTERNAL BIBLIOGRAPHIES/INDEXES NOTE

Text of Note
Includes bibliographical references (pages 285-319) and index.

SUMMARY OR ABSTRACT

Text of Note
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.

TOPICAL NAME USED AS SUBJECT

Artificial intelligence-- Social aspects.
Big data.
Machine learning.
54.83 computer aided engineering.
Artificial intelligence-- Social aspects.
Big data.
COMPUTERS-- Database Management-- Data Mining.
Künstliche Intelligenz
Machine learning.
Maschinelles Lernen
Neuronales Netz

DEWEY DECIMAL CLASSIFICATION

Number
006
.
3/1
Edition
23

LIBRARY OF CONGRESS CLASSIFICATION

Class number
Q325
.
5
Book number
.
S45
2018

OTHER CLASS NUMBERS

Class number
SCI089000
System Code
bisacsh

PERSONAL NAME - PRIMARY RESPONSIBILITY

Sejnowski, Terrence J., (Terrence Joseph)

ORIGINATING SOURCE

Date of Transaction
20200822104712.0
Cataloguing Rules (Descriptive Conventions))
rda

ELECTRONIC LOCATION AND ACCESS

Electronic name
 مطالعه متن کتاب 

[Book]

Y

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