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Deep Learning (Serie Adaptive Computation und Machine Learning)-
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Standort: Indianapolis, Indiana, USA
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eBay-Artikelnr.:197750081799
Artikelmerkmale
- Artikelzustand
- Release Year
- 2016
- Book Title
- Deep Learning (Adaptive Computation and Machine Learning series)
- ISBN
- 9780262035613
Über dieses Produkt
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
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- y***z (3579)- Bewertung vom Käufer.Letzter MonatBestätigter KaufThe Make Room For Daddy Vol. 1 used DVD was in great condition. The slip case is in great condtion as well as the DVD and was a great value. The Make Room for Daddy Vol. 1 DVD was packed in a heavy manila bubble wrap envelope. ClickgoodwillBooks offered 5 star + customer service. I received the DVD in 5 days from Indianapolis Indiana. A very nice eBay seller to buy from to help out a charity.
Produktbewertungen & Rezensionen
Relevanteste Rezensionen
- 01. Apr. 2020
Sound book.
Bestätigter Kauf: JaZustand: NeuVerkauft von: missyr70
- 19. Apr. 2021
A heavy but interesting read! Must have for all DL aspirants!
Bestätigter Kauf: JaZustand: Neu
- 01. Dez. 2023
Good, QC issues
Bestätigter Kauf: JaZustand: NeuVerkauft von: smileshop_3
- 19. Jun. 2018
Lovely
Bestätigter Kauf: JaZustand: NeuVerkauft von: textbooks_xpress
- 12. Nov. 2019
excellent
Bestätigter Kauf: JaZustand: NeuVerkauft von: rI9ybzIeT8O@Deleted
ClickgoodwillBooks
99,5% positive Bewertungen•2,1 Mio. Artikel verkauft
Angemeldet als gewerblicher Verkäufer
Verkäuferbewertungen (796.000)
- s***s (10)- Bewertung vom Käufer.Letzter MonatBestätigter KaufThe package was shipped here fast, and the CDs were in good condition, but the case got stuck to the pamphlet inside. The seller did tell the truth in saying it was acceptable as was described, and he chose a good price for this, as it is 2 CDs that are almost 15 years old.
- l***3 (19)- Bewertung vom Käufer.Letzte 6 MonateBestätigter KaufThis is the second purchase I made from this seller, and they have quickly become an e-bay favorite! The shipping was SUPER fast, the packaging was carefully rendered, and the DVD itself was in BEAUTIFUL condition. Like my last purchase, the DVD was brand new and still encased in shrink wrap. What an amazing seller! I cannot recommend them highly enough. Also, it feels nice to support an organization who is helping our marginalized communities. Thank you for everything!
- y***z (3579)- Bewertung vom Käufer.Letzter MonatBestätigter KaufThe Make Room For Daddy Vol. 1 used DVD was in great condition. The slip case is in great condtion as well as the DVD and was a great value. The Make Room for Daddy Vol. 1 DVD was packed in a heavy manila bubble wrap envelope. ClickgoodwillBooks offered 5 star + customer service. I received the DVD in 5 days from Indianapolis Indiana. A very nice eBay seller to buy from to help out a charity.