{"product_id":"deep-learning-adaptive-computation-and-machine-learning-series","title":"Deep Learning (Adaptive Computation and Machine Learning series)","description":"\u003ch3\u003eDeep Learning: A Comprehensive Guide to Modern Artificial Intelligence\u003c\/h3\u003e\n\u003cp\u003eDiscover the foundations, techniques, applications, and research perspectives behind one of the most important fields in modern artificial intelligence. \u003cem\u003eDeep Learning\u003c\/em\u003e provides a comprehensive introduction to deep learning, combining mathematical foundations with practical methods used in industry and emerging ideas from research.\u003c\/p\u003e\n\u003cp\u003eWritten by leading experts in the field, this book is designed for students, software engineers, researchers, and AI practitioners who want to understand how deep learning systems work—and how to build and apply them.\u003c\/p\u003e\n\u003ch2\u003eBuild a Strong Foundation in Deep Learning\u003c\/h2\u003e\n\u003cp\u003eDeep learning is a powerful approach to machine learning in which computers learn representations and concepts from experience. Rather than requiring humans to explicitly program every detail, deep learning systems can build increasingly complex concepts from simpler representations through multiple layers of computation.\u003c\/p\u003e\n\u003cp\u003eThis book explains the ideas behind these systems while providing the mathematical and conceptual foundation needed to understand modern deep learning.\u003c\/p\u003e\n\u003ch2\u003eWhat You’ll Learn\u003c\/h2\u003e\n\u003cp\u003eInside, you’ll explore:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eMathematical Foundations\u003c\/strong\u003e — Essential concepts from linear algebra, probability theory, information theory, numerical computation, and machine learning.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eDeep Feedforward Networks\u003c\/strong\u003e — Understand fundamental neural network architectures and how they are trained.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eRegularization and Optimization\u003c\/strong\u003e — Explore techniques for improving model performance, controlling overfitting, and efficiently training deep networks.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eConvolutional Networks\u003c\/strong\u003e — Learn the principles behind neural networks widely used for computer vision and image-based applications.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eSequence Modeling\u003c\/strong\u003e — Examine methods for processing and learning from sequential data.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003ePractical Deep Learning Methodology\u003c\/strong\u003e — Develop an understanding of how deep learning techniques are applied in real-world settings.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eExplore Real-World Applications\u003c\/h2\u003e\n\u003cp\u003eThe book examines how deep learning can be applied across a wide range of fields, including:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003eNatural language processing\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003eSpeech recognition\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003eComputer vision\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003eOnline recommendation systems\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003eBioinformatics\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003eVideo games\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003eMachine learning products and platforms\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eThese examples connect theoretical concepts with practical applications, helping readers understand how deep learning techniques translate into real-world systems.\u003c\/p\u003e\n\u003ch2\u003eGo Beyond the Fundamentals\u003c\/h2\u003e\n\u003cp\u003eFor readers interested in advanced concepts and research, \u003cem\u003eDeep Learning\u003c\/em\u003e also explores important theoretical and emerging topics, including:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003eLinear factor models\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003eAutoencoders\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003eRepresentation learning\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003eStructured probabilistic models\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003eMonte Carlo methods\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003eThe partition function\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003eApproximate inference\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003eDeep generative models\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eThis combination of foundational theory, practical techniques, applications, and research perspectives makes the book a valuable resource for developing a deeper understanding of the field.\u003c\/p\u003e\n\u003ch2\u003eIdeal for Students, Engineers, and AI Researchers\u003c\/h2\u003e\n\u003cp\u003e\u003cem\u003eDeep Learning\u003c\/em\u003e is suitable for undergraduate and graduate students preparing for careers in artificial intelligence, machine learning, software engineering, or research. It is also valuable for software engineers and technology professionals who want to begin incorporating deep learning into products, applications, and platforms.\u003c\/p\u003e\n\u003cp\u003eWhether you are building your mathematical foundation, learning practical neural network techniques, or exploring advanced research topics, this book provides a structured path into the world of deep learning.\u003c\/p\u003e\n\u003ch3\u003eA Comprehensive Resource for Understanding Deep Learning\u003c\/h3\u003e\n\u003cp\u003eFrom linear algebra and probability to convolutional networks, sequence modeling, generative models, and real-world AI applications, \u003cem\u003eDeep Learning\u003c\/em\u003e brings together the essential concepts needed to study this rapidly evolving field.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eExplore the theory, techniques, applications, and research perspectives that form the foundation of modern deep learning.\u003cbr\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003chr class=\"a-divider-normal bucketDivider\"\u003e\n\u003ch2\u003eProduct details\u003c\/h2\u003e\n\u003cdiv id=\"detailBullets_feature_div\"\u003e\n\u003cul class=\"a-unordered-list a-nostyle a-vertical a-spacing-none detail-bullet-list\"\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan class=\"a-text-bold\"\u003ePublisher ‏ : ‎ \u003c\/span\u003e\u003cspan\u003eThe MIT Press\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan class=\"a-text-bold\"\u003ePublication date ‏ : ‎ \u003c\/span\u003e\u003cspan\u003eNovember 18, 2016\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan class=\"a-text-bold\"\u003eLanguage ‏ : ‎ \u003c\/span\u003e\u003cspan\u003eEnglish\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan class=\"a-text-bold\"\u003ePrint length ‏ : ‎ \u003c\/span\u003e\u003cspan\u003e800 pages\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan class=\"a-text-bold\"\u003eISBN-10 ‏ : ‎ \u003c\/span\u003e\u003cspan\u003e0262035618\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan class=\"a-text-bold\"\u003eISBN-13 ‏ : ‎ \u003c\/span\u003e\u003cspan\u003e978-0262035613\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan class=\"a-text-bold\"\u003eItem Weight ‏ : ‎ \u003c\/span\u003e\u003cspan\u003e2.94 pounds\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan class=\"a-text-bold\"\u003eReading age ‏ : ‎ \u003c\/span\u003e\u003cspan\u003e18 years and up\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan class=\"a-text-bold\"\u003eDimensions ‏ : ‎ \u003c\/span\u003e\u003cspan\u003e9.1 x 7.2 x 1.1 inches\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan class=\"a-text-bold\"\u003eGrade level ‏ : ‎ \u003c\/span\u003e\u003cspan\u003e12 and up\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003cp\u003e\u003cstrong\u003e\u003c\/strong\u003e\u003cbr\u003e\u003c\/p\u003e","brand":"thebookstella.com","offers":[{"title":"Default Title","offer_id":67233009205497,"sku":null,"price":47.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0840\/6948\/2745\/files\/DeepLearning.jpg?v=1790548446","url":"https:\/\/thebookscharm.com\/products\/deep-learning-adaptive-computation-and-machine-learning-series","provider":"My Store","version":"1.0","type":"link"}