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DEEP LEARNING John D. Kelleher (2019) MIT Press AI Artificial Intelligence Book
Condition:
“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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Postage:
Located in: Beaverton, Oregon, United States
Delivery:
Estimated between Tue, 18 Jun and Mon, 24 Jun to 43230
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Seller information
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Registered as a Business Seller
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eBay item number:145768440769
Item specifics
- Condition
- Like New
- 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
- 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
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
Item description from the seller
Seller assumes all responsibility for this listing.
eBay item number:145768440769
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Item location:
Beaverton, Oregon, United States
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Postage and handling | To | Service | Delivery*See Delivery notes |
---|---|---|---|
US $4.13 (approx PHP 242.00) | United States | Economy Postage (USPS Media MailTM) | Estimated between Tue, 18 Jun and Mon, 24 Jun to 43230 |
US $10.60 (approx PHP 621.12) | United States | Expedited Postage (USPS Priority Mail Padded Flat Rate Envelope®) | Estimated between Tue, 18 Jun and Fri, 21 Jun to 43230 |
US $7.00 (approx PHP 410.17) | United States | Standard Postage (USPS Ground Advantage®) | Estimated between Tue, 18 Jun and Sat, 22 Jun to 43230 |
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