Deep Learning Adaptive Computation and Machine Learning series New
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Deep Learning Adaptive Computation and Machine Learning series New
US $35.00
ApproximatelyC $48.36
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Brand New
A new, unread, unused book in perfect condition with no missing or damaged pages. See the seller’s listing for full details.
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US $6.72 (approx C $9.29) USPS Media MailTM.
Located in: El Paso, Texas, United States
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Estimated between Tue, Aug 19 and Sat, Aug 23 to 94104
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eBay item number:357055974832
Item specifics
- Condition
- ISBN
- 9780262035613
About this product
Product Identifiers
Publisher
MIT Press
ISBN-10
0262035618
ISBN-13
9780262035613
eBay Product ID (ePID)
228981524
Product Key Features
Number of Pages
800 Pages
Language
English
Publication Name
Deep Learning
Publication Year
2016
Subject
Intelligence (Ai) & Semantics, Computer Science
Type
Textbook
Subject Area
Computers
Series
Adaptive Computation and Machine Learning Ser.
Format
Hardcover
Dimensions
Item Height
1.3 in
Item Weight
45.5 Oz
Item Length
9.3 in
Item Width
7.3 in
Additional Product Features
Intended Audience
Trade
LCCN
2016-022992
Reviews
[T]he AI bible... the text should be mandatory reading by all data scientists and machine learning practitioners to get a proper foothold in this rapidly growing area of next-gen technology., [T]he AI bible... the text should be mandatory reading by all data scientists and machine learning practitioners to get a proper foothold in this rapidly growing area of next-gen technology.-- Daniel D. Gutierrez , insideBIGDATA --
Dewey Edition
23
Illustrated
Yes
Dewey Decimal
006.3/1
Synopsis
An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives. "Written by three experts in the field, Deep Learning is the only comprehensive book on the subject." -Elon Musk , cochair of OpenAI; cofounder and CEO of Tesla and SpaceX Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning. The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models. Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors., An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives. "Written by three experts in the field, Deep Learning is the only comprehensive book on the subject." --Elon Musk , cochair of OpenAI; cofounder and CEO of Tesla and SpaceX Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning. The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models. Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.
LC Classification Number
Q325.5.G66 2017
Item description from the seller
Seller feedback (23)
- 2***k (70)- Feedback left by buyer.Past 6 monthsVerified purchaseGreat seller. Item came as described. Would purchase again.Stuarts in Italy, 1719-1766 : A Royal Court in Permanent Exile, Paperback by ... (#356418141649)
- d***l (718)- Feedback left by buyer.Past 6 monthsVerified purchaseVery pleased with the purchase. Book arrived well packaged and arrived in a timely version. Books are in new condition and very happy with the purchase. Books look great and would definitely buy from the seller again. Great deal.The Complete Sherlock Holmes Doyle Bantam Box Set 2 Volumes Paperback SEALED (#355555548058)
- o***p (15)- Feedback left by buyer.Past yearVerified purchaseMy purchase arrived VERY securely packaged and in great condition. The books are as described, and I have a very happy kid ready to jump into this series.A to Z Mysteries Complete 1-26 Books Boxed Set: 26 Books A to Z Collection (#356418099264)
Product ratings and reviews
Most relevant reviews
- Apr 01, 2020
Sound book.
Verified purchase: YesCondition: NewSold by: missyr70
- Apr 18, 2021
A heavy but interesting read! Must have for all DL aspirants!
Verified purchase: YesCondition: New
- Dec 01, 2023
Good, QC issues
Verified purchase: YesCondition: NewSold by: smileshop_3
- Jun 18, 2018
Lovely
Verified purchase: YesCondition: NewSold by: textbooks_xpress
- Nov 12, 2019
excellent
Verified purchase: YesCondition: NewSold by: rI9ybzIeT8O@Deleted
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