Foto 1 di 2
Galleria
Foto 1 di 2
Ne hai uno da vendere?
Deep Learning (Adaptive Computation and Machine Learning series) - Hardcover-New
US $40,00
CircaEUR 34,23
Condizione:
Nuovo
Libro nuovo, intatto e non letto, in perfette condizioni, senza pagine mancanti o danneggiate. Per maggiori dettagli, consulta l'inserzione del venditore.
- Compralo SubitoDeep Learning (Adaptive Computation and Machine Learning series) - Hardcover-New
Oops! Looks like we're having trouble connecting to our server.
Refresh your browser window to try again.
Spedizione:
US $5,22 (circa EUR 4,47) USPS Media MailTM.
Oggetto che si trova a: Queens Village, New York, Stati Uniti
Consegna:
Consegna prevista tra il ven 5 set e il gio 11 set a 94104
Restituzioni:
Restituzioni non accettate.
Pagamenti:
Fai shopping in tutta sicurezza
Il venditore si assume la piena responsabilità della messa in vendita dell'oggetto.
Numero oggetto eBay:256578059636
Specifiche dell'oggetto
- Condizione
- Brand
- Unbranded
- Book Title
- Deep Learning (Adaptive Computation and Machine Learning series)
- MPN
- Does not apply
- ISBN
- 9780262035613
Informazioni su questo prodotto
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
Descrizione dell'oggetto fatta dal venditore
Informazioni sul venditore professionale
Informazioni su questo venditore
j918918
75% di Feedback positivi•559 oggetti venduti
Registrato come venditore professionale
Feedback sul venditore (321)
- m***c (13643)- Feedback lasciato dall'acquirente.Ultimo annoAcquisto verificatohorrible experience with the seller sorry i cannot recommend to anyone on ebay asked the seller for a refund seller ignored had to open a case ebay had to refund my payment horrible experienceHP Laserjet 03A Black for 5P 5MP-6P 6MP C39003A Sealed New (N° 256257594373)
- h***p (1768)- Feedback lasciato dall'acquirente.Più di un anno faAcquisto verificatoReceived quickly. Would gladly buy from again. Great communication.Sex every day in every way 2007 daily calendar - Fast Free Shipping. Gift-Adult (N° 255107139556)
- l***s (217)- Feedback lasciato dall'acquirente.Più di un anno faAcquisto verificatoProperly packaged! Item was as described and in great condition. A++ ebay seller!! Thanks!Science News - August 12, 2023 Hot And Smoky (N° 256181290927)