{"product_id":"deep-learning-patterns-and-practices-andrew-ferlitsch-9781617298264","title":"Deep Learning Patterns and Practices","description":"\u003cb\u003eDiscover best practices, reproducible architectures, and design patterns to help guide deep learning models from the lab into production.\u003c\/b\u003e \u003cp\u003e\u003c\/p\u003eIn \u003ci\u003eDeep Learning Patterns and Practices\u003c\/i\u003e you will learn: \u003cp\u003e\u003c\/p\u003e Internal functioning of modern convolutional neural networks\u003cbr\u003e Procedural reuse design pattern for CNN architectures\u003cbr\u003e Models for mobile and IoT devices\u003cbr\u003e Assembling large-scale model deployments\u003cbr\u003e Optimizing hyperparameter tuning\u003cbr\u003e Migrating a model to a production environment \u003cp\u003e\u003c\/p\u003eThe big challenge of deep learning lies in taking cutting-edge technologies from R\u0026amp;D labs through to production. \u003ci\u003eDeep Learning Patterns and Practices\u003c\/i\u003e is here to help. This unique guide lays out the latest deep learning insights from author Andrew Ferlitsch's work with Google Cloud AI. In it, you'll find deep learning models presented in a unique new way: as extendable design patterns you can easily plug-and-play into your software projects. Each valuable technique is presented in a way that's easy to understand and filled with accessible diagrams and code samples. \u003cp\u003e\u003c\/p\u003ePurchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. \u003cp\u003e\u003c\/p\u003e About the technology\u003cbr\u003e Discover best practices, design patterns, and reproducible architectures that will guide your deep learning projects from the lab into production. This awesome book collects and illuminates the most relevant insights from a decade of real world deep learning experience. You'll build your skills and confidence with each interesting example. \u003cp\u003e\u003c\/p\u003eAbout the book\u003cbr\u003e \u003ci\u003eDeep Learning Patterns and Practices\u003c\/i\u003e is a deep dive into building successful deep learning applications. You'll save hours of trial-and-error by applying proven patterns and practices to your own projects. Tested code samples, real-world examples, and a brilliant narrative style make even complex concepts simple and engaging. Along the way, you'll get tips for deploying, testing, and maintaining your projects. \u003cp\u003e\u003c\/p\u003e What's inside \u003cp\u003e\u003c\/p\u003e Modern convolutional neural networks\u003cbr\u003e Design pattern for CNN architectures\u003cbr\u003e Models for mobile and IoT devices\u003cbr\u003e Large-scale model deployments\u003cbr\u003e Examples for computer vision \u003cp\u003e\u003c\/p\u003eAbout the reader\u003cbr\u003e For machine learning engineers familiar with Python and deep learning. \u003cp\u003e\u003c\/p\u003eAbout the author\u003cbr\u003e \u003cb\u003eAndrew Ferlitsch\u003c\/b\u003e is an expert on computer vision, deep learning, and operationalizing ML in production at Google Cloud AI Developer Relations. \u003cp\u003e\u003c\/p\u003eTable of Contents \u003cp\u003e\u003c\/p\u003ePART 1 DEEP LEARNING FUNDAMENTALS\u003cbr\u003e 1 Designing modern machine learning\u003cbr\u003e 2 Deep neural networks\u003cbr\u003e 3 Convolutional and residual neural networks\u003cbr\u003e 4 Training fundamentals\u003cbr\u003e PART 2 BASIC DESIGN PATTERN\u003cbr\u003e 5 Procedural design pattern\u003cbr\u003e 6 Wide convolutional neural networks\u003cbr\u003e 7 Alternative connectivity patterns\u003cbr\u003e 8 Mobile convolutional neural networks\u003cbr\u003e 9 Autoencoders\u003cbr\u003e PART 3 WORKING WITH PIPELINES\u003cbr\u003e 10 Hyperparameter tuning\u003cbr\u003e 11 Transfer learning\u003cbr\u003e 12 Data distributions\u003cbr\u003e 13 Data pipeline\u003cbr\u003e 14 Training and deployment pipeline\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e Andrew Ferlitsch\u003cbr\u003e\u003cb\u003eISBN-10:\u003c\/b\u003e 1617298263\u003cbr\u003e\u003cb\u003eISBN-13:\u003c\/b\u003e 9781617298264\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e Manning Publications\u003cbr\u003e\u003cb\u003eLanguage:\u003c\/b\u003e English\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 10\/05\/2021\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 472\u003cbr\u003e\u003cb\u003eFormat:\u003c\/b\u003e Paperback\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 1.85lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 9.10h x 7.40w x 1.00d\u003cbr\u003e\u003cp\u003e\u003cb\u003eAbout the Author\u003c\/b\u003e\u003cbr\u003e\u003cb\u003eAndrew Ferlitsch\u003c\/b\u003e is an expert on computer vision and deep learning at Google Cloud AI Developer Relations. He was formerly a principal research scientist for 20 years at Sharp Corporation of Japan, where he amassed 115 US patents and worked on emerging technologies in telepresence, augmented reality, digital signage, and autonomous vehicles. In his present role, he reaches out to developer communities, corporations and universities, teaching deep learning and evangelizing Google's AI technologies.\u003c\/p\u003e","brand":"Andrew Ferlitsch","offers":[{"title":"Paperback","offer_id":44047618015487,"sku":"9781617298264","price":59.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0662\/2982\/9887\/files\/img_9baa4356-fdc2-44d0-9559-69fffc2bf39e.jpg?v=1684991248","url":"https:\/\/www.whiterainbookhouse.com\/products\/deep-learning-patterns-and-practices-andrew-ferlitsch-9781617298264","provider":"WR Book House","version":"1.0","type":"link"}