{"product_id":"9781119861867","title":"Deep Learning A Practical Introduction","description":"\u003ch1\u003eDeep Learning\u003c\/h1\u003e\u003ch2\u003eA Practical Introduction\u003c\/h2\u003e\u003ch3\u003eManel Martinez-Ramon | Meenu Ajith | Aswathy Rajendra Kurup\u003c\/h3\u003e\u003cdiv\u003e\u003cb\u003eComputers \/ Data Science \/ Neural Networks\u003c\/b\u003e\u003c\/div\u003e\u003cbr\u003e\u003cdiv\u003e\n\u003cp\u003e\u003cb\u003eAn engaging and accessible introduction to deep learning perfect for students and professionals\u003c\/b\u003e \u003c\/p\u003e\n\u003cp\u003eIn \u003ci\u003eDeep Learning: A Practical Introduction\u003c\/i\u003e, a team of distinguished researchers delivers a book complete with coverage of the theoretical and practical elements of deep learning. The book includes extensive examples, end-of-chapter exercises, homework, exam material, and a GitHub repository containing code and data for all provided examples. \u003c\/p\u003e\n\u003cp\u003eCombining contemporary deep learning theory with state-of-the-art tools, the chapters are structured to maximize accessibility for both beginning and intermediate students. The authors have included coverage of TensorFlow, Keras, and Pytorch. Readers will also find: \u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eThorough introductions to deep learning and deep learning tools\u003c\/li\u003e\n\u003cli\u003eComprehensive explorations of convolutional neural networks, including discussions of their elements, operation, training, and architectures\u003c\/li\u003e\n\u003cli\u003ePractical discussions of recurrent neural networks and non-supervised approaches to deep learning\u003c\/li\u003e\n\u003cli\u003eFulsome treatments of generative adversarial networks as well as deep Bayesian neural networks\u003c\/li\u003e\n\u003c\/ul\u003e \u003cp\u003ePerfect for undergraduate and graduate students studying computer vision, computer science, artificial intelligence, and neural networks, \u003ci\u003eDeep Learning: A Practical Introduction \u003c\/i\u003ewill also benefit practitioners and researchers in the fields of deep learning and machine learning in general.\u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv\u003e  \u003cp\u003e\u003cb\u003eManel Martínez-Ramón, PhD,\u003c\/b\u003e is King Felipe VI Endowed Chair and Professor in the Department of Electrical and Computer Engineering at the University of New Mexico in the United States. He earned his doctorate in Telecommunication Technologies at the Universidad Carlos III de Madrid in 1999. \u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eMeenu Ajith, PhD,\u003c\/b\u003e is a Postdoctoral Research Associate in Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS) at Georgia State University, Georgia Institute of Technology, and Emory University. She earned her doctorate degree in Electrical Engineering from the University of New Mexico in 2022. Her research interests include machine learning, computer vision, medical imaging, and image processing. \u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eAswathy Rajendra Kurup, PhD,\u003c\/b\u003e is a Data Scientist at Intel Corporation. She earned her doctorate degree in Electrical Engineering from the University of Mexico in 2022. Her research interests include image processing, signal processing, deep learning, computer vision, data analysis and data processing. \u003c\/p\u003e\n\u003c\/div\u003e\u003cbr\u003e\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublication Date: \u003c\/td\u003e\n\u003ctd\u003e22 July 2024\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublisher: \u003c\/td\u003e\n\u003ctd\u003eWiley\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eImprint: \u003c\/td\u003e\n\u003ctd\u003eWiley\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eISBN-13: \u003c\/td\u003e\n\u003ctd\u003e9781119861867\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFormat: \u003c\/td\u003e\n\u003ctd\u003eHardback\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePage Count: \u003c\/td\u003e\n\u003ctd\u003e416\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWeight (oz): \u003c\/td\u003e\n\u003ctd\u003e35.52\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":44310364192908,"sku":"9781119861867","price":95.36,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9781119861867_a3c1cf54-26e5-404b-a48e-f0d72c5adb19.jpg?v=1780103254","url":"https:\/\/fh90cf-fv.myshopify.com\/products\/9781119861867","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}