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(Ebook) Regularization in Deep Learning (MEAP V04) by Peng Liu ISBN 9781633439610, 1633439615

  • SKU: EBN-47496812
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Instant download (eBook) Regularization in Deep Learning (MEAP V04) after payment.
Authors:Peng Liu
Pages:323 pages.
Year:2022
Editon:Chapters 1 to 7 of 10
Publisher:Manning Publications
Language:english
File Size:9.88 MB
Format:pdf
ISBNS:9781633439610, 1633439615
Categories: Ebooks

Product desciption

(Ebook) Regularization in Deep Learning (MEAP V04) by Peng Liu ISBN 9781633439610, 1633439615

Make your deep learning models more generalized and adaptable! These practical regularization techniques improve training efficiency and help avoid overfitting errors. Regularization in Deep Learning teaches you how to improve your model performance with a toolbox of regularization techniques. It covers both well-established regularization methods and groundbreaking modern approaches. Each technique is introduced using graphics, illustrations, and step-by-step coding walkthroughs that make complex math easy to follow. You’ll learn how to augment your dataset with random noise, improve your model’s architecture, and apply regularization in your optimization procedures. You’ll soon be building focused deep learning models that avoid sprawling complexity and deliver more accurate results even with new or messy data sets.
*Free conversion of into popular formats such as PDF, DOCX, DOC, AZW, EPUB, and MOBI after payment.

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