Deep learning from scratch : building with Python from first principles
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Author
Published
Sebastopol, CA : O'Reilly Media, Inc., 2019.
Status
Unavailable/Withdrawn
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Published
Sebastopol, CA : O'Reilly Media, Inc., 2019.
Format
Unknown
Physical Desc
xiv, 235 pages : illustrations ; 24 cm
Language
English
Notes
Bibliography
Includes bibliographical references and index.
Description
With the resurgence of neural networks in the 2010s, understanding deep learning has become essential for machine learning practitioners and even many software engineers. This practical book provides a thorough introduction for data scientists and software engineers with previous exposure to machine learning. You'll start with deep learning basics and move quickly to the details of important advanced architectures, implementing everything from scratch along the way. Author Seth Weidman shows you how neural networks function using a first principles approach. You'll learn how to apply multilayer neural networks, convolutional neural networks, and recurrent neural networks from the ground up. With a detailed understanding of how these networks work mathematically, computationally, and conceptually, you'll be set up for success on future deep learning projects.
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Citations
APA Citation, 7th Edition (style guide)
Weidman, S. (2019). Deep learning from scratch: building with Python from first principles (First edition.). O'Reilly Media, Inc..
Chicago / Turabian - Author Date Citation, 17th Edition (style guide)Weidman, Seth. 2019. Deep Learning From Scratch: Building With Python From First Principles. O'Reilly Media, Inc.
Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)Weidman, Seth. Deep Learning From Scratch: Building With Python From First Principles O'Reilly Media, Inc, 2019.
MLA Citation, 9th Edition (style guide)Weidman, Seth. Deep Learning From Scratch: Building With Python From First Principles First edition., O'Reilly Media, Inc., 2019.
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.
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