Inside Deep Learning: Math Algorithms Models
Inside Deep Learning: Math Algorithms Models
Inside Deep Learning is an accessible guide to implementing deep learning with the PyTorch framework. It demystifies complex deep learning concepts and teaches you to understand the vocabulary of deep learning so you can keep pace in a rapidly evolving field.
Inside Deep Learning: Math Algorithms Models
منتج #: 254163520

Inside Deep Learning: Math Algorithms Models

منتج #: 254163520
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Inside Deep Learning is an accessible guide to implementing deep learning with the PyTorch framework. It demystifies complex deep learning concepts and teaches you to understand the vocabulary of deep learning so you can keep pace in a rapidly evolving field.
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Shop Inside Deep Learning: Math Algorithms Models online at a best price in Libya. 1617298638
  • If you want to learn some of the deeper explanations of deep learning and PyTorch then read this book! - Tiklu GangulyJourney through the theory and practice of modern deep learning, and apply innovative techniques to solve everyday data problems.In Inside Deep Learning, you will learn how to:Implement deep learning with PyTorchSelect the right deep learning componentsTrain and evaluate a deep learning modelFine tune deep learning models to maximize performanceUnderstand deep learning terminologyAdapt existing PyTorch code to solve new problemsInside Deep Learning is an accessible guide to implementing deep learning with the PyTorch framework. It demystifies complex deep learning concepts and teaches you to understand the vocabulary of deep learning so you can keep pace in a rapidly evolving field. No detail is skipped―you'll dive into math, theory, and practical applications. Everything is clearly explained in plain English.about the technologyDeep learning isn't just for big tech companies and academics. Anyone who needs to find meaningful insights and patterns in their data can benefit from these practical techniques! The unique ability for your systems to learn by example makes deep learning widely applicable across industries and use-cases, from filtering out spam to driving cars.about the bookInside Deep Learning is a fast-paced beginners' guide to solving common technical problems with deep learning. Written for everyday developers, there are no complex mathematical proofs or unnecessary academic theory. You'll learn how deep learning works through plain language, annotated code and equations as you work through dozens of instantly useful PyTorch examples.As you go, you'll build a French-English translator that works on the same principles as professional machine translation and discover cutting-edge techniques just emerging from the latest research. Best of all, every deep learning solution in this book can run in less than fifteen minutes using free GPU hardware!about the readerFor Python programmers with basic machine learning skills.about the authorEdward Raff is a Chief Scientist at Booz Allen Hamilton, and the author of the JSAT machine learning library. His research includes deep learning, malware detection, reproducibility in ML, fairness/bias, and high performance computing. He is also a visiting professor at the University of Maryland, Baltimore County and teaches deep learning in the Data Science department. Dr Raff has over 40 peer reviewed publications, three best paper awards, and has presented at numerous major conferences.
Publisher Manning Publications
Publication date 31 May 2022
Edition 1st
Language English
Print length 425 pages
ISBN-10 1617298638
ISBN-13 978-1617298639
Dimensions 18.73 x 4.06 x 23.5 cm

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Inside Deep Learning: Math Algorithms Models

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أسئلة العملاء & الإجابات

  • سؤال: Who is the author of this book?

    إجابه: The author of this book is Edward Raff, who is a Chief Scientist at Booz Allen Hamilton.
  • سؤال: What Python skills are required to read this book?

    إجابه: This book is for Python programmers with basic machine learning skills.
  • سؤال: What formats does the purchase of the print book include?

    إجابه: The purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.

English edition Edward Raff Format: Paperback Editorial Review

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