Who is the author of this book?

The author of this book is Edward Raff, who is a Chief Scientist at Booz Allen Hamilton.

What Python skills are required to read this book?

This book is for Python programmers with basic machine learning skills.

What formats does the purchase of the print book include?

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

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English edition Edward Raff Format: Paperback 觀看原文

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.

English edition Edward Raff Format: Paperback

物品 #: 254163520

Inside Deep Learning: Math Algorithms Models

物品 #: 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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What Stands Out

Comprehensive Coverage

Offers an in-depth exploration of deep learning, including fundamental mathematics, algorithms, and practical models, making it suitable for both beginners and experienced practitioners.

Real-World Applications

Equips readers with practical insights and case studies, demonstrating how deep learning techniques are applied in diverse fields, enhancing the understanding of theoretical concepts.

User-Friendly Approach

Designed with clarity and accessibility in mind, the book simplifies complex topics, ensuring that readers can grasp essential concepts without feeling overwhelmed.

產品詳情

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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題: 如何從 Ubuy 在線購物 Inside Deep Learning: Math Algorithms Models？

回答: 從 Ubuy 在線購物 Inside Deep Learning: Math Algorithms Models 非常簡單。. 您只需搜索產品，在結賬時選擇運輸方式，然後將其運送到您所在的位置。
題: Inside Deep Learning: Math Algorithms Models 可以在 Hong Kong 在線購物嗎？

回答: 是的，您可以在 Ubuy Hong Kong 以合理的價格購買該產品。. Inside Deep Learning: Math Algorithms Models 在本地不可用，但您可以信任我們的快遞服務。
題: 下訂單後需要多長時間才能收到產品？

回答: 您訂購的產品的交貨時間根據您訂購的商品和您選擇的運輸方式而有所不同。. 結賬時會提到預計送貨時間，所以購物時請放心。

English edition Edward Raff Format: Paperback Editorial Review

Inside Deep Learning: Math Algorithms Models is a comprehensive guide published by Manning Publications on 31 May 2022. This first edition, printed in English, delves deep into the mathematical principles governing deep learning algorithms, presenting complex concepts in an accessible manner. Spanning 425 pages, it serves as an essential resource for both beginners and experienced practitioners in the field. The book's well-structured approach allows readers to grasp intricate details while also providing practical applications of the theories discussed, enhancing both understanding and usability in real-world scenarios.

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優點

Accessible explanations of complex deep learning concepts.
Well-structured content for both beginners and experts.
Includes practical applications of mathematical theories.
Comprehensive resource with a deep dive into algorithms.
High-quality publication by a reputable publisher.

缺點

Some readers may desire more visual aids.

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