{"product_id":"modern-deep-learning-design-and-application-development-versatile-tools-to-solve-deep-learning-problems-paperback","title":"Modern Deep Learning Design and Application Development: Versatile Tools to Solve Deep Learning Problems - Paperback","description":"\u003cp\u003eby \u003cb\u003eAndre Ye\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eLearn how to harness modern deep-learning methods in many contexts. Packed with intuitive theory, practical implementation methods, and deep-learning case studies, this book reveals how to acquire the tools you need to design and implement like a deep-learning architect. It covers tools deep learning engineers can use in a wide range of fields, from biology to computer vision to business. With nine in-depth case studies, this book will ground you in creative, real-world deep learning thinking. \u003c\/p\u003e You'll begin with a structured guide to using Keras, with helpful tips and best practices for making the most of the framework. Next, you'll learn how to train models effectively with transfer learning and self-supervised pre-training. You will then learn how to use a variety of model compressions for practical usage. Lastly, you will learn how to design successful neural network architectures and creatively reframe difficult problems into solvable ones. You'll learn not only to understand and apply methods successfully but to think critically about it. \u003cp\u003e\u003c\/p\u003e \u003cp\u003e\u003ci\u003eModern Deep Learning Design and Methods\u003c\/i\u003e is ideal for readers looking to utilize modern, flexible, and creative deep-learning design and methods. Get ready to design and implement innovative deep-learning solutions to today's difficult problems. \u003c\/p\u003e \u003cp\u003e\u003cb\u003eWhat You'll Learn\u003c\/b\u003e\u003c\/p\u003e \u003cul\u003e\n\u003cli\u003eImprove the performance of deep learning models by using pre-trained models, extracting rich features, and automating optimization.\u003c\/li\u003e\n\u003cli\u003eCompress deep learning models while maintaining performance.\u003c\/li\u003e\n\u003cli\u003e Reframe a wide variety of difficult problems and design effective deep learning solutions to solve them. \u003c\/li\u003e\n\u003cli\u003eUse the Keras framework, with some help from libraries like HyperOpt, TensorFlow, and PyTorch, to implement a wide variety of deep learning approaches.\u003cbr\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e \u003cp\u003e\u003cb\u003eWho This Book Is For\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eData scientists with some familiarity with deep learning to deep learning engineers seeking structured inspiration and direction on their next project. Developers interested in harnessing modern deep learning methods to solve a variety of difficult problems.\u003cbr\u003e\u003c\/p\u003e\u003cbr\u003e\u003ch3\u003eBack Jacket\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eLearn how to harness modern deep-learning methods in many contexts. Packed with intuitive theory, practical implementation methods, and deep-learning case studies, this book reveals how to acquire the tools you need to design and implement like a deep-learning architect. It covers tools deep learning engineers can use in a wide range of fields, from biology to computer vision to business. With nine in-depth case studies, this book will ground you in creative, real-world deep learning thinking. \u003c\/p\u003eYou'll begin with a structured guide to using Keras, with helpful tips and best practices for making the most of the framework. Next, you'll learn how to train models effectively with transfer learning and self-supervised pre-training. You will then learn how to use a variety of model compressions for practical usage. Lastly, you will learn how to design successful neural network architectures and creatively reframe difficult problems into solvable ones. You'll learn not only to understand and apply methods successfully but to think critically about it. \u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003ci\u003eModern Deep Learning Design and Methods\u003c\/i\u003e is ideal for readers looking to utilize modern, flexible, and creative deep-learning design and methods. Get ready to design and implement innovative deep-learning solutions to today's difficult problems. \u003c\/p\u003e\u003cp\u003eYou will: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eImprove the performance of deep learning models by using pre-trained models, extracting rich features, and automating optimization.\u003c\/li\u003e\n\u003cli\u003eCompress deep learning models while maintaining performance.\u003c\/li\u003e\n\u003cli\u003eReframe a wide variety of difficult problems and design effective deep learning solutions to solve them.\u003c\/li\u003e\n\u003cli\u003eUse the Keras framework, with some help from libraries like HyperOpt, TensorFlow, and PyTorch, to implement a wide variety of deep learning approaches.\u003c\/li\u003e\n\u003c\/ul\u003e\u003cbr\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003eAndre Ye is a data science writer and editor; he has written over 300 data science articles for various top data science publications with over ten million views. He is also a cofounder at Critiq, a peer revision platform that uses machine learning to match users' essays. In his spare time, Andre enjoys keeping up with current deep learning research, playing the piano, and swimming.\u003cbr\u003e\u003c\/p\u003e\u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 451\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.95 x 10 x 7 IN\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003eIllustrated:\u003c\/strong\u003e Yes\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e November 19, 2021\u003c\/div\u003e","brand":"Books by splitShops","offers":[{"title":"Default Title","offer_id":42707388629055,"sku":"9781484274125","price":84.22,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0105\/8226\/1823\/files\/d138d057a353d79780fb28047ca5adc0.webp?v=1765043914","url":"https:\/\/dhlswag.com\/products\/modern-deep-learning-design-and-application-development-versatile-tools-to-solve-deep-learning-problems-paperback","provider":"BBB","version":"1.0","type":"link"}