Fundamentals of deep learning : designing next-generation machine intelligence algorithms
(eBook)
Author
Contributors
Locascio, Nicholas, author.
Published
Sebastopol, CA : O'Reilly Media, [2017].
Format
eBook
Edition
First edition.
ISBN
9781491925584, 1491925582, 9781491925560, 1491925566
Physical Desc
1 online resource (1 volume) : illustrations
Status
Description
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Subjects
Bisac Subjects
More Details
Language
English
Notes
Bibliography
Includes bibliographical references and index.
Local note
O'Reilly,O'Reilly Online Learning: Academic/Public Library Edition
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Citations
APA Citation, 7th Edition (style guide)
Buduma, N., & Locascio, N. (2017). Fundamentals of deep learning: designing next-generation machine intelligence algorithms (First edition.). O'Reilly Media.
Chicago / Turabian - Author Date Citation, 17th Edition (style guide)Buduma, Nikhil and Nicholas, Locascio. 2017. Fundamentals of Deep Learning: Designing Next-generation Machine Intelligence Algorithms. O'Reilly Media.
Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)Buduma, Nikhil and Nicholas, Locascio. Fundamentals of Deep Learning: Designing Next-generation Machine Intelligence Algorithms O'Reilly Media, 2017.
MLA Citation, 9th Edition (style guide)Buduma, Nikhil,, and Nicholas Locascio. Fundamentals of Deep Learning: Designing Next-generation Machine Intelligence Algorithms First edition., O'Reilly Media, 2017.
Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.
Staff View
Grouped Work ID
ef298b0f-edd9-e817-42cf-e6268dca02e1-eng
Grouping Information
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Full title | fundamentals of deep learning designing next generation machine intelligence algorithms |
Author | buduma nikhil |
Grouping Category | book |
Last Update | 2024-04-16 12:23:35PM |
Last Indexed | 2024-04-20 05:02:55AM |
Book Cover Information
Image Source | syndetics |
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First Loaded | Jun 24, 2022 |
Last Used | Mar 22, 2024 |
Marc Record
First Detected | Nov 09, 2022 03:48:29 PM |
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Last File Modification Time | Apr 16, 2024 12:35:31 PM |
MARC Record
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505 | 0 | |a The neural network -- Training feed-forward neural networks -- Implementing neural networks in TensorFlow -- Beyond gradient descent -- Convolutional neural networks -- Embedding and representation learning -- Models for sequence analysis -- Memory augmented neural networks -- Deep reinforcement learning. | |
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