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Deep Learning, Hardcover by Goodfellow, Ian; Bengio, Yoshua; Courville, Aaron...
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eBay-Artikelnr.:357533442077
Artikelmerkmale
- Artikelzustand
- Book Title
- Deep Learning
- 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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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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97,7% positive Bewertungen•1,4 Mio. Artikel verkauft
Angemeldet als gewerblicher Verkäufer
Verkäuferbewertungen (402.936)
- e***r (2729)- Bewertung vom Käufer.Letzter MonatBestätigter KaufAAA+++; Excellent Service; Great Pricing; Fast Delivery-Faster Than Expected to Chicago using free shipping USPS Media Mail, Received 06/18; book in Great Condition as Described ; TLC Packaging; Excellent Seller Communication, Sends updates . Highly Recommended!, Thank you very much!
- c***m (446)- Bewertung vom Käufer.Letzte 6 MonateBestätigter KaufAAA+++; Excellent Service; Great Pricing; Fast Delivery-Faster Than Expected to Hawaii using free shipping USPS Ground Mail, Received 06/18; Paperback book in Great Condition as Described ; TLC Packaging; Excellent Seller Communication, Sends updates . Highly Recommended!, Thank you very much!Jesse Livermore's Two Books of Market Wisdom: Reminiscences of a Stock Operat... (Nr. 356784261477)
- 1***n (286)- Bewertung vom Käufer.Letzte 6 MonateBestätigter KaufReceived the Tying Nymphs: Essential Flies and Techniques for the Top Patterns, Hardcover. The book is of high quality. I'm very happy with my purchase and will continue to order from this seller. This seller has the best communications that I have ever seen in a sell. The book is at a great value. The book was as described and in excellent condition. Shipping was very fast. The appearance of the book was excellent. The item was very well packaged. Again, I will continue buy from this sell.