Items related to Deep Learning (Adaptive Computation and Machine Learning...
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.
"synopsis" may belong to another edition of this title.
About the Author
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.
"About this title" may belong to another edition of this title.
Other Popular Editions of the Same Title
Search results for Deep Learning (Adaptive Computation and Machine Learning...
Stock Image
Deep Learning (Adaptive Computation and Machine Learning series)
Seller: Bellwetherbooks, McKeesport, PA, U.S.A.
Seller rating 4 out of 5 stars
hardcover. Condition: Acceptable. DAMAGED - Binding is broken and loose. Seller Inventory # mon0000053557
Stock Image
Deep Learning (Adaptive Computation and Machine Learning series)
Seller: New Legacy Books, Annandale, NJ, U.S.A.
Seller rating 5 out of 5 stars
hardcover. Condition: Good. Fast shipping and order satisfaction guaranteed. A portion of your purchase benefits Non-Profit Organizations, First Aid and Fire Stations! Seller Inventory # mon0000155299
Stock Image
Deep Learning (Adaptive Computation and Machine Learning series)
Seller: Bellwetherbooks, McKeesport, PA, U.S.A.
Seller rating 4 out of 5 stars
hardcover. Condition: Good. Bruise/tear to cover. Seller Inventory # mon0000053841
Stock Image
Deep Learning (Adaptive Computation and Machine Learning series)
Seller: Bellwetherbooks, McKeesport, PA, U.S.A.
Seller rating 4 out of 5 stars
hardcover. Condition: Very Good. Very Good Condition - May show some limited signs of wear and may have a remainder mark. Pages and dust cover are intact and not marred by notes or highlighting. Seller Inventory # mon0000053820
Seller Image
Deep Learning (Adaptive Computation and Machine Learning series)
Seller: Dream Books Co., Denver, CO, U.S.A.
Seller rating 5 out of 5 stars
Condition: good. Gently used with minimal wear on the corners and cover. A few pages may contain light highlighting or writing, but the text remains fully legible. Dust jacket may be missing, and supplemental materials like CDs or codes may not be included. May be ex-library with library markings. Ships promptly! Seller Inventory # DBV.0262035618.G
Stock Image
Deep Learning Adaptive Computa
Seller: World of Books (was SecondSale), Montgomery, IL, U.S.A.
Seller rating 5 out of 5 stars
Condition: Very Good. Item in very good condition! Textbooks may not include supplemental items i.e. CDs, access codes etc. Seller Inventory # 00106803926
Stock Image
Deep Learning Adaptive Computa
Seller: World of Books (was SecondSale), Montgomery, IL, U.S.A.
Seller rating 5 out of 5 stars
Condition: Good. Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc. Seller Inventory # 00102043064
Stock Image
Deep Learning Adaptive Computa
Seller: World of Books (was SecondSale), Montgomery, IL, U.S.A.
Seller rating 5 out of 5 stars
Condition: Acceptable. Item in acceptable condition! Textbooks may not include supplemental items i.e. CDs, access codes etc. Seller Inventory # 00106802455
Stock Image
Penguin Random House Deep Lear
Seller: World of Books (was SecondSale), Montgomery, IL, U.S.A.
Seller rating 5 out of 5 stars
Condition: Good. Item in good condition and has highlighting/writing on text. Used texts may not contain supplemental items such as CDs, info-trac etc. Seller Inventory # 00106689778
Stock Image
Deep Learning (Adaptive Computation and Machine Learning series)
Seller: Half Price Books Inc., Dallas, TX, U.S.A.
Seller rating 5 out of 5 stars
Hardcover. Condition: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority! Seller Inventory # S_478991707