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Deep Learning UC Bengio Yoshua MIT Press Ltd Hardback
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Item specifics
- Condition
- ISBN-13
- 9780262035613
- ISBN-10
- 0262035618
- Book Title
- Deep Learning
- Title
- Deep Learning
- Genre
- Romance
- Topic
- Romance
- ISBN
- 9780262035613
- EAN
- 9780262035613
- Publication Year
- 2016
- Type
- Textbook
- Format
- Hardcover
- Language
- English
- Publication Name
- Deep Learning
- Item Height
- 229mm
- Publisher
- MIT Press LTD
- Item Width
- 178mm
- Subject
- Computer Science
- Number of Pages
- 800 Pages
About this product
Product Information
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 SpaceXDeep 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.
Product Identifiers
Publisher
MIT Press LTD
ISBN-13
9780262035613
eBay Product ID (ePID)
230033967
Product Key Features
Publication Name
Deep Learning
Format
Hardcover
Language
English
Subject
Computer Science
Publication Year
2016
Type
Textbook
Number of Pages
800 Pages
Dimensions
Item Height
229mm
Item Width
178mm
Additional Product Features
Series Title
Adaptive Computation and Machine Learning Series
Country/Region of Manufacture
United States
Item description from the seller
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DO NOT BUY FROM THIS FRAUDULENT CRIMINAL SCAM ENTERPRISE!!! They have a very intentional pattern of defrauding their customers: first, they offer a hard-to-find media item at what looks like a pretty good price, but with a long shipping window. Then they never send the item, which they almost certainly never possessed in the first place. They are banking on the customer forgetting to follow up so they can keep the money. Zero replies from the seller to multiple messages. DISGRACEFUL!!!
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- 11 Jun, 2020
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