Articoli correlati a Deep Learning
Sinossi
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.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Informazioni sull'autore
Ian Goodfellow is a Research Scientist at Google.
Yoshua Bengio is Professor of Computer Science at the Université de Montréal.
Aaron Courville is Assistant Professor of Computer Science at the Université de Montréal.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
Risultati della ricerca per Deep Learning
Foto dell'editore
Deep Learning (Adaptive Computation and Machine Learning series)
Da: HPB-Red, Dallas, TX, U.S.A.
Valutazione del venditore 5 su 5 stelle
Hardcover. Condizione: Acceptable. Connecting readers with great books since 1972. Used textbooks may not include companion materials such as access codes, etc. May have condition issues including wear and notes/highlighting. We ship orders daily and Customer Service is our top priority! Codice articolo S_483871233
Compra usato
EUR 20,30
Spedizione EUR 3,29
Spedito in U.S.A.
Spedito in U.S.A.
Quantità: 1 disponibili
Foto dell'editore
Deep Learning
Da: ThriftBooks-Atlanta, AUSTELL, GA, U.S.A.
Valutazione del venditore 5 su 5 stelle
Hardcover. Condizione: Fair. No Jacket. Readable copy. Pages may have considerable notes/highlighting. ~ ThriftBooks: Read More, Spend Less. Codice articolo G0262035618I5N00
Compra usato
EUR 24,41
Spedizione gratuita
Spedito in U.S.A.
Spedito in U.S.A.
Quantità: 1 disponibili
Foto dell'editore
Deep Learning
Da: World of Books (was SecondSale), Montgomery, IL, U.S.A.
Valutazione del venditore 5 su 5 stelle
Hardback. Condizione: Good. 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. Codice articolo 00102043064
Compra usato
EUR 29,47
Spedizione gratuita
Spedito in U.S.A.
Spedito in U.S.A.
Quantità: 11 disponibili
Foto dell'editore
Deep Learning
Da: World of Books Inc, Montgomery, IL, U.S.A.
Valutazione del venditore 4 su 5 stelle
Hardback. Condizione: Good. 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. Codice articolo CIN0262035618G
Compra usato
EUR 31,28
Spedizione gratuita
Spedito in U.S.A.
Spedito in U.S.A.
Quantità: 11 disponibili
Foto dell'editore
Deep Learning (Adaptive Computation and Machine Learning series)
Da: MendoncaBook, Slough, Regno Unito
Valutazione del venditore 5 su 5 stelle
Hardcover. Condizione: Very Good. Codice articolo 000760
Compra usato
EUR 37,02
Spedizione gratuita
Spedito da Regno Unito a U.S.A.
Spedito da Regno Unito a U.S.A.
Quantità: 1 disponibili
Immagini fornite dal venditore
Deep Learning
Da: Textbooks and More, Atlanta, GA, U.S.A.
Valutazione del venditore 4 su 5 stelle
Hardcover. Condizione: Very Good. US trade hardcover. Very Good copy: binding tight and square, all pages present, covers and spine clean with no writing, marking, or inscriptions. Ships fast from Atlanta, GA in protective packaging. Codice articolo 9780262035613
Compra usato
EUR 36,15
Spedizione EUR 4,16
Spedito in U.S.A.
Spedito in U.S.A.
Quantità: 1 disponibili
Foto dell'editore
Deep Learning (Adaptive Computation and Machine Learning series)
Editore:
The MIT Press (edition ), 2016
ISBN 10: 0262035618
ISBN 13: 9780262035613
Antico o usato
Rilegato
Da: BooksRun, Philadelphia, PA, U.S.A.
Valutazione del venditore 5 su 5 stelle
Hardcover. Condizione: Very Good. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting. Codice articolo 0262035618-11-1
Compra usato
EUR 41,68
Spedizione gratuita
Spedito in U.S.A.
Spedito in U.S.A.
Quantità: 4 disponibili
Foto dell'editore
Penguin Random House Deep Learning (Adaptive Computation and Machine Learning series)
Editore:
MIT Press Ltd, United States, Cambridge, Mass., 2016
ISBN 10: 0262035618
ISBN 13: 9780262035613
Antico o usato
Paperback
Da: WorldofBooks, Goring-By-Sea, WS, Regno Unito
Valutazione del venditore 5 su 5 stelle
Paperback. Condizione: Good. The book has been read but remains in clean condition. All pages are intact and the cover is intact. Some minor wear to the spine. Codice articolo GOR009828965
Compra usato
EUR 37,50
Spedizione EUR 6,51
Spedito da Regno Unito a U.S.A.
Spedito da Regno Unito a U.S.A.
Quantità: 1 disponibili
Immagini fornite dal venditore
Deep Learning (Adaptive Computation and Machine Learning series)
Da: Kimmies Collection, Maryville, TN, U.S.A.
Valutazione del venditore 5 su 5 stelle
hardcover. Condizione: Very Good. a very nice copy! clean and tight pages. fast and secure shipping. Codice articolo 73751
Compra usato
EUR 40,32
Spedizione EUR 4,38
Spedito in U.S.A.
Spedito in U.S.A.
Quantità: 1 disponibili
Foto dell'editore
Deep Learning (Adaptive Computation and Machine Learning series)
Da: Swan Trading Company, GEORGETOWN, TX, U.S.A.
Valutazione del venditore 5 su 5 stelle
hardcover. Condizione: Very Good. Hardcover shows only light cover wear. Text is unmarked and binding tight. Ships FAST! Codice articolo 2607200023
Compra usato
EUR 45,24
Spedizione gratuita
Spedito in U.S.A.
Spedito in U.S.A.
Quantità: 1 disponibili