{"product_id":"understanding-deep-learning-simon-j-d-prince","title":"Understanding Deep Learning by Simon J.D. Prince | AI \u0026 Machine Learning","description":"\u003ch3\u003e\u003cspan\u003eUnderstanding Deep Learning by Simon J.D. Prince\u003c\/span\u003e\u003c\/h3\u003e\n\u003cp class=\"isSelectedEnd\"\u003e\u003cstrong\u003e\u003cspan\u003eUnderstanding Deep Learning\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e by \u003c\/span\u003e\u003cstrong\u003e\u003cspan\u003eSimon J. D. Prince\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e is a comprehensive textbook that explains the principles, mathematics, and practical applications of deep learning and artificial intelligence. Published by MIT Press, the book presents complex concepts through clear explanations, visual illustrations, mathematical examples, and programming exercises. It is designed for readers with a basic background in applied mathematics who want to develop a deeper understanding of modern machine learning techniques. \u0026lt;Cite refs={\u003cspan data-placeholder-token=\"true\" class=\"text-token-text-primary cursor-text rounded-sm\"\u003e[\"turn615558search1\",\"turn615558search2\"]\u003c\/span\u003e}\/\u0026gt;\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"isSelectedEnd\"\u003e\u003cspan\u003eThe book progresses from supervised learning and neural networks to advanced topics such as convolutional networks, transformers, graph neural networks, generative adversarial networks, variational autoencoders, diffusion models, and reinforcement learning. It also examines model performance, optimization, regularization, and the ethical challenges of deep learning. With its balance of theory and practical implementation, it is suitable for students, researchers, programmers, and AI professionals seeking a structured foundation in modern deep learning. \u0026lt;Cite refs={\u003cspan data-placeholder-token=\"true\" class=\"text-token-text-primary cursor-text rounded-sm\"\u003e[\"turn615558search0\",\"turn615558search1\"]\u003c\/span\u003e}\/\u0026gt;\u003c\/span\u003e\u003c\/p\u003e\n\u003ch3\u003e\u003cspan\u003eKey Topics\u003c\/span\u003e\u003c\/h3\u003e\n\u003cul data-spread=\"false\"\u003e\n\u003cli\u003e\u003cspan\u003eArtificial intelligence and deep learning\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eMachine learning fundamentals\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eNeural networks and backpropagation\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eGradient descent and model optimization\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eConvolutional and residual networks\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eTransformers and natural language processing\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eGraph neural networks\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eGenerative AI and diffusion models\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eReinforcement learning\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eModel evaluation and regularization\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003ePython programming exercises\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eAI ethics and responsible development\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3\u003e\u003cspan\u003eWhy Read This Book?\u003c\/span\u003e\u003c\/h3\u003e\n\u003cp class=\"isSelectedEnd\"\u003e\u003cstrong\u003e\u003cspan\u003eUnderstanding Deep Learning\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e offers a structured approach to learning the concepts behind modern AI systems. Its combination of intuitive explanations, mathematical detail, illustrations, and programming resources helps readers connect theoretical principles with practical implementation. It is a valuable reference for computer science students, machine learning practitioners, researchers, and developers expanding their AI knowledge. \u0026lt;Cite refs={\u003cspan data-placeholder-token=\"true\" class=\"text-token-text-primary cursor-text rounded-sm\"\u003e[\"turn615558search1\",\"turn615558search2\"]\u003c\/span\u003e}\/\u0026gt;\u003c\/span\u003e\u003c\/p\u003e\n\u003ch3\u003e\u003cspan\u003eAbout the Author\u003c\/span\u003e\u003c\/h3\u003e\n\u003cp class=\"isSelectedEnd\"\u003e\u003cstrong\u003e\u003cspan\u003eSimon J. D. Prince\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e is a computer scientist and researcher specializing in artificial intelligence and deep learning. He is an Honorary Professor of Computer Science at the University of Bath and is also known for his work on computer vision. His research and teaching experience inform this accessible yet technically detailed introduction to deep learning. \u0026lt;Cite refs={\u003cspan data-placeholder-token=\"true\" class=\"text-token-text-primary cursor-text rounded-sm\"\u003e[\"turn615558search1\",\"turn615558search2\"]\u003c\/span\u003e}\/\u0026gt;\u003c\/span\u003e\u003c\/p\u003e\n\u003ch3\u003e\u003cspan\u003eProduct Details\u003c\/span\u003e\u003c\/h3\u003e\n\u003cul data-spread=\"false\"\u003e\n\u003cli\u003e\n\u003cstrong\u003e\u003cspan\u003eBook Title:\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e Understanding Deep Learning\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e\u003cspan\u003eAuthor:\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e Simon J. D. Prince\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e\u003cspan\u003eLanguage:\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e English\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e\u003cspan\u003eFormat:\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e English Hardcover\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e\u003cspan\u003eGenre:\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e Computer Science \/ Artificial Intelligence \/ Machine Learning\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e\u003cspan\u003ePublisher:\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e The MIT Press\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e\u003cspan\u003ePublication Date:\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e December 5, 2023\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e\u003cspan\u003eISBN-13:\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e 9780262048644\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e\u003cspan\u003ePages:\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e 544\u003c\/span\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cem\u003e\u003cspan\u003eNote: These details correspond to the MIT Press hardcover edition. Other formats have different ISBNs.\u003c\/span\u003e\u003c\/em\u003e\u003cspan\u003e \u0026lt;Cite refs={\u003cspan data-placeholder-token=\"true\" class=\"text-token-text-primary cursor-text rounded-sm\"\u003e[\"turn615558search1\",\"turn615558search3\"]\u003c\/span\u003e}\/\u0026gt;\u003c\/span\u003e\u003c\/p\u003e","brand":"BookBeen","offers":[{"title":"Paperback","offer_id":67663235711285,"sku":null,"price":1250.0,"currency_code":"PKR","in_stock":true},{"title":"Hardcover","offer_id":67663235744053,"sku":null,"price":1850.0,"currency_code":"PKR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0972\/1731\/5125\/files\/BookBeen-2026-10-09T211604.810.png?v=1791562675","url":"https:\/\/bookbeen.com\/products\/understanding-deep-learning-simon-j-d-prince","provider":"Bookbeen","version":"1.0","type":"link"}