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DEEP LEARNING John D. Kelleher (2019) MIT Press AI Artificial Intelligence Book

Condition:
Like New
Great condition with no noticeable wear.
Ended: May 11, 2024 23:48:03 PHT
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US $7.46
ApproximatelyPHP 437.13
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Located in: Beaverton, Oregon, United States
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Item specifics

Condition
Like New
A book in excellent condition. Cover is shiny and undamaged, and the dust jacket is included for hard covers. No missing or damaged pages, no creases or tears, and no underlining/highlighting of text or writing in the margins. May be very minimal identifying marks on the inside cover. Very minimal wear and tear. See all condition definitionsopens in a new window or tab
Seller Notes
“Great condition with no noticeable wear.”
Subject Area
Computers
Personalized
No
Educational Level
Adult & Further Education, High School
Features
Illustrated
Level
Intermediate
Country/Region of Manufacture
United States
Subject
Intelligence (Ai) & Semantics
ISBN
9780262537551
Publication Name
Deep Learning
Item Length
6.9 in
Publisher
MIT Press
Publication Year
2019
Series
The MIT Press Essential Knowledge Ser.
Type
Textbook
Format
Trade Paperback
Language
English
Item Height
0.8 in
Author
John D. Kelleher
Item Width
5 in
Item Weight
9.3 Oz
Number of Pages
296 Pages

About this product

Product Information

An accessible introduction to the artificial intelligence technology that enables computer vision, speech recognition, machine translation, and driverless cars. Deep learning is an artificial intelligence technology that enables computer vision, speech recognition in mobile phones, machine translation, AI games, driverless cars, and other applications. When we use consumer products from Google, Microsoft, Facebook, Apple, or Baidu, we are often interacting with a deep learning system. In this volume in the MIT Press Essential Knowledge series, computer scientist John Kelleher offers an accessible and concise but comprehensive introduction to the fundamental technology at the heart of the artificial intelligence revolution. Kelleher explains that deep learning enables data-driven decisions by identifying and extracting patterns from large datasets; its ability to learn from complex data makes deep learning ideally suited to take advantage of the rapid growth in big data and computational power. Kelleher also explains some of the basic concepts in deep learning, presents a history of advances in the field, and discusses the current state of the art. He describes the most important deep learning architectures, including autoencoders, recurrent neural networks, and long short-term networks, as well as such recent developments as Generative Adversarial Networks and capsule networks. He also provides a comprehensive (and comprehensible) introduction to the two fundamental algorithms in deep learning: gradient descent and backpropagation. Finally, Kelleher considers the future of deep learning--major trends, possible developments, and significant challenges.

Product Identifiers

Publisher
MIT Press
ISBN-10
0262537559
ISBN-13
9780262537551
eBay Product ID (ePID)
5038293491

Product Key Features

Author
John D. Kelleher
Publication Name
Deep Learning
Format
Trade Paperback
Language
English
Subject
Intelligence (Ai) & Semantics
Publication Year
2019
Series
The MIT Press Essential Knowledge Ser.
Type
Textbook
Subject Area
Computers
Number of Pages
296 Pages

Dimensions

Item Length
6.9 in
Item Height
0.8 in
Item Width
5 in
Item Weight
9.3 Oz

Additional Product Features

LCCN
2018-059550
Intended Audience
Trade
Lc Classification Number
Q325.5.K454 2019
Copyright Date
2019
Dewey Decimal
006.3/1
Dewey Edition
23
Illustrated
Yes

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