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Deep Generative Modeling by Tomczak Jakub (62 results)
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Deep Generative Modeling
Published by Springer Nature Switzerland AG, 2022
ISBN 10: 3030931579 ISBN 13: 9783030931575
Language: English
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 5 out of 5 stars
HRD. Condition: Used - Good. Used Book. Shipped from UK. Established seller since 2000.
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Condition: New. Brand New. Excellent Customer Service.
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Deep Generative Modeling
Seller: Books From California, Simi Valley, CA, U.S.A.
Seller rating 5 out of 5 stars
paperback. Condition: Very Good.
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Deep Generative Modeling
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 5 out of 5 stars
PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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Deep Generative Modeling
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Deep Generative Modeling
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. In.
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Deep Generative Modeling
Published by Springer Nature Switzerland AG, 2022
ISBN 10: 3030931579 ISBN 13: 9783030931575
Language: English
HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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Deep Generative Modeling
Published by Springer Nature Switzerland AG, CH, 2023
ISBN 10: 3030931609 ISBN 13: 9783030931605
Language: English
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 5 out of 5 stars
Paperback. Condition: New. 2022 ed. This textbook tackles the problem of formulating AI systems by combining probabilistic modeling and deep learning. Moreover, it goes beyond typical predictive modeling and brings together supervised learning and unsupervised learning. The resulting paradigm, called deep generative modeling, utilizes the generative perspective on perceiving the surrounding world. It assumes that each phenomenon is driven by an underlying generative process that defines a joint distribution over random variables and their stochastic interactions, i.e., how events occur and in what order. The adjective "deep" comes from the fact that the distribution is parameterized using deep neural networks. There are two distinct traits of deep generative modeling. First, the application of deep neural networks allows rich and flexible parameterization of distributions. Second, the principled manner of modeling stochastic dependencies using probability theory ensures rigorous formulation and prevents potential flaws in reasoning. Moreover, probability theory provides a unified framework where the likelihood function plays a crucial role in quantifying uncertainty and defining objective functions.Deep Generative Modeling is designed to appeal to curious students, engineers, and researchers with a modest mathematical background in undergraduate calculus, linear algebra, probability theory, and the basics in machine learning, deep learning, and programming in Python and PyTorch (or other deep learning libraries). It will appeal to students and researchers from a variety of backgrounds, including computer science, engineering, data science, physics, and bioinformatics, who wish to become familiar with deep generative modeling. To engage the reader, the book introduces fundamental concepts with specific examples and code snippets. The full code accompanying the book is available on github.The ultimate aim of the book is to outline the most important techniques in deep generative modeling and, eventually, enable readers to formulate new models and implement them.
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Deep Generative Modeling
Published by Springer-Nature New York Inc, 2023
ISBN 10: 3030931609 ISBN 13: 9783030931605
Language: English
Paperback. Condition: Brand New. 215 pages. 9.25x6.10x0.46 inches. In Stock.
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Deep Generative Modeling
Published by Springer Nature Switzerland AG, 2023
ISBN 10: 3030931609 ISBN 13: 9783030931605
Language: English
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Seller rating 5 out of 5 stars
First Edition
Condition: New. 2023. 1st ed. 2022. Paperback. . . . . .
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Deep Generative Modeling
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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Deep Generative Modeling
ISBN 10: 3031640861 ISBN 13: 9783031640865
Language: English
Seller: Books From California, Simi Valley, CA, U.S.A.
Seller rating 5 out of 5 stars
hardcover. Condition: Very Good.
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Deep Generative Modeling
Published by Springer Nature Switzerland AG, 2022
ISBN 10: 3030931579 ISBN 13: 9783030931575
Language: English
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 5 out of 5 stars
HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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Deep Generative Modeling
Published by Springer Nature Switzerland AG, 2023
ISBN 10: 3030931609 ISBN 13: 9783030931605
Language: English
Condition: New. 2023. 1st ed. 2022. Paperback. . . . . . Books ship from the US and Ireland.
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Deep Generative Modeling
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. In.
