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Designing Deep Learning Systems: A software engineer's guide
US $50.00
Approximately£37.01
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Condition:
Like New
A book that has been read, but looks new. The book cover has no visible wear, and the dust jacket (if applicable) is included for hard covers. No missing or damaged pages, no creases or tears, no underlining or highlighting of text, and no writing in the margins. May have no identifying marks on the inside cover. No wear and tear. See the seller’s listing for full details and description of any imperfections.
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Collection:
Free collection in person from Delcevo, Macedonia
Postage:
US $10.00 (approx £7.40) Flat Rate Freight.
Located in: Delcevo, Macedonia
Delivery:
Estimated between Tue, 26 Aug and Wed, 10 Sep to 94104
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eBay item number:285473008188
Item specifics
- Condition
- Subject
- Design
- ISBN
- 9781633439863
About this product
Product Identifiers
Publisher
Manning Publications Co. LLC
ISBN-10
1633439860
ISBN-13
9781633439863
eBay Product ID (ePID)
18057288016
Product Key Features
Number of Pages
325 Pages
Language
English
Publication Name
Engineering Deep Learning Systems
Subject
Neural Networks, Data Processing
Publication Year
2023
Type
Textbook
Subject Area
Computers
Format
Trade Paperback
Dimensions
Item Height
0.1 in
Item Weight
23.3 Oz
Item Length
9.4 in
Item Width
7.4 in
Additional Product Features
LCCN
2023-286663
Dewey Edition
23
Illustrated
Yes
Dewey Decimal
006.31
Synopsis
Design systems optimized for deep learning models. Written for software engineers, this book teaches you how to implement a maintainable platform for developing deep learning models. In Engineering Deep Learning Systems you will learn how to: Transfer your software development skills to deep learning systems Recognize and solve common engineering challenges for deep learning systems Understand the deep learning development cycle Automate training for models in TensorFlow and PyTorch Optimize dataset management, training, model serving and hyperparameter tuning Pick the right open-source project for your platform Engineering Deep Learning Systems is a practical guide for software engineers and data scientists who are designing and building platforms for deep learning. It's full of hands-on examples that will help you transfer your software development skills to implementing deep learning platforms. You'll learn how to build automated and scalable services for core tasks like dataset management, model training/serving, and hyperparameter tuning. This book is the perfect way to step into an exciting--and lucrative--career as a deep learning engineer. about the technology Behind every deep learning researcher is a team of engineers bringing their models to production. To build these systems, you need to understand how a deep learning system's platform differs from other distributed systems. By mastering the core ideas in this book, you'll be able to support deep learning systems in a way that's fast, repeatable, and reliable., A vital guide to building the platforms and systems that bring deep learning models to production. In Designing Deep Learning Systems you will learn how to: Transfer your software development skills to deep learning systems Recognize and solve common engineering challenges for deep learning systems Understand the deep learning development cycle Automate training for models in TensorFlow and PyTorch Optimize dataset management, training, model serving and hyperparameter tuning Pick the right open-source project for your platform Deep learning systems are the components and infrastructure essential to supporting a deep learning model in a production environment. Written especially for software engineers with minimal knowledge of deep learning's design requirements, Designing Deep Learning Systems is full of hands-on examples that will help you transfer your software development skills to creating these deep learning platforms. You'll learn how to build automated and scalable services for core tasks like dataset management, model training/serving, and hyperparameter tuning. This book is the perfect way to step into an exciting--and lucrative--career as a deep learning engineer. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology To be practically usable, a deep learning model must be built into a software platform. As a software engineer, you need a deep understanding of deep learning to create such a system. Th is book gives you that depth. About the book Designing Deep Learning Systems: A software engineer's guide teaches you everything you need to design and implement a production-ready deep learning platform. First, it presents the big picture of a deep learning system from the developer's perspective, including its major components and how they are connected. Then, it carefully guides you through the engineering methods you'll need to build your own maintainable, efficient, and scalable deep learning platforms. What's inside The deep learning development cycle Automate training in TensorFlow and PyTorch Dataset management, model serving, and hyperparameter tuning A hands-on deep learning lab About the reader For software developers and engineering-minded data scientists. Examples in Java and Python. About the author Chi Wang is a principal software developer in the Salesforce Einstein group. Donald Szeto was the co-founder and CTO of PredictionIO. Table of Contents 1 An introduction to deep learning systems 2 Dataset management service 3 Model training service 4 Distributed training 5 Hyperparameter optimization service 6 Model serving design 7 Model serving in practice 8 Metadata and artifact store 9 Workflow orchestration 10 Path to production
LC Classification Number
Q325.73
Item description from the seller
About this seller
dimitrovski
100% positive Feedback•177 items sold
Registered as a private sellerThereby, consumer rights stemming from EU consumer protection law do not apply. eBay buyer protection still applies to most purchases.
Seller Feedback (37)
- *****- Feedback left by buyer.Past 6 monthsVerified purchaseInitially I was concerned that my package had not arrived. I contacted the seller who immediately responded, assuring me that the package was on its way. After receiving it, I noticed that it had come from Bavaria, or some such country, (I've forgotten exactly) which explained the wait. My book arrived in perfect condition, and, considering the EXTRAVAGANT COST, as it was a rare copy, I was still pleased.
- *****- Feedback left by buyer.Past 6 monthsVerified purchaseThe book came brand new! As mentioned in the description. Also at the best price. Reliable seller, and I will prefer him again for future purchases! - Thank you also for accepting my offer!
- *****- Feedback left by buyer.Past 6 monthsVerified purchaseExcellent first experience buying from this seller! The book arrived in perfect condition, as advertised in the listing. Would buy from them again!
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