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Deep Learning (Adaptive Computing and Machine Learning Ser... von Bach, Francis-
FREE US DELIVERY | ISBN: 0262035618 | Quality Books
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eBay-Artikelnr.:303673789902
Artikelmerkmale
- Artikelzustand
- ISBN
- 0262035618
- EAN
- 9780262035613
- Date of Publication
- 2016-11-18
- Release Title
- Deep Learning (Adaptive Computation and Machine Learning Series)
- Artist
- Bach, Francis
- Brand
- N/A
- Colour
- N/A
- Book Title
- Deep Learning (Adaptive Computation and Machine Learning Series)
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
Artikelbeschreibung des Verkäufers
Rechtliche Informationen des Verkäufers
USt-IdNr.: GB 922696893
Info zu diesem Verkäufer
World of Books USA
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- 4***7 (209)- Bewertung vom Käufer.Letzter MonatBestätigter Kauf1st edition, 2nd impression edition of "The Drunken Forest," by Gerald Durrell is as pictured & described. Arrived quickly & safely! Got a great deal on it! Great communication! The book, with a protective mylar cover, was wrapped in bubble wrap, then wrapped in sturdy cardboard, then placed in a rugged bubble mailer! Fort Knox in a mailer! So hard to get an early edition of this classic! So happy to add to my growing collection of nature & science books! Thank you! !!Seller Highly Recommended!!
- 6***6 (74)- Bewertung vom Käufer.Letzter MonatBestätigter KaufThis delivery was earliest date! Condition, value, quality - all as described. (My mistake was not requiring the publishing date to be 1958. This was 1977.) This IS a Viking Portable Library copy of Dante's Divine Comedy in English, translated by Laurence Binyon, but it is with a cover DIFFERENT from what was shown. The tracking number was listed as from "UPS", but should have been listed as from "USPS." Contact with this seller alleviated tracking issues. I recommend this seller! Thank you!
- p***a (187)- Bewertung vom Käufer.Letzter MonatBestätigter KaufI purchased two books from the same seller; both were accurately advertised in product write ups. Seller responded promptly and securely packaged both books for swift arrival. I am very happy with my purchase and highly recommend this seller.
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
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