{"product_id":"deep-learning-and-scientific-computing-with-r-torch-9781032231396","title":"Deep Learning and Scientific Computing with R torch","description":"\u003cp\u003e\u003c\/p\u003e\u003cblockquote\u003e\n\u003cbr\u003eTorch is an R port of PyTorch, a deep learning framework used in industry and research. It is written entirely in R and C\/C++ and has a vibrant community of users and developers. This book aims to provide a thorough introduction to torch basics, show how to use it in deep-learning applications, and provide a concepts-first, reader-friendly introduction to selected scientific-computation topics. \u003c\/blockquote\u003e\u003cp\u003e\u003cstrong\u003eFormat\u003c\/strong\u003e: Paperback \/ softback\u003cbr\u003e\u003cstrong\u003eLength\u003c\/strong\u003e: 394 pages\u003cbr\u003e\u003cstrong\u003ePublication date\u003c\/strong\u003e: 05 April 2023\u003cbr\u003e\u003cstrong\u003ePublisher\u003c\/strong\u003e: Taylor \u0026amp; Francis Ltd\u003cbr\u003e\u003c\/p\u003e \u003cp\u003e\u003cbr\u003eTorch, an R port of PyTorch, is a highly sought-after deep learning framework in both industry and research. It is also an excellent tool for scientific computations due to its versatility and efficiency. Written entirely in R and C\/C++, Torch has already garnered a vibrant community of users and developers.\u003cbr\u003e\u003cbr\u003eDespite its relative youth, Torch has already demonstrated its usefulness across a wide range of backgrounds. This book aims to be valuable to nearly everyone, with three primary goals:\u003cbr\u003e\u003cbr\u003eProvide a comprehensive introduction to Torch basics, covering underlying concepts and ideas with ample examples to ensure fluency.\u003cbr\u003e\u003cbr\u003eEmphasize conceptual explanations, with a focus on providing clear insights rather than overwhelming the reader with technical details.\u003cbr\u003e\u003cbr\u003eShow how to use Torch in various deep learning applications, ranging from image recognition to time series prediction and audio classification.\u003cbr\u003e\u003cbr\u003eIn addition to its introductory content, the book also offers a concepts-first, reader-friendly introduction to selected scientific computation topics, such as matrix computations, the Discrete Fourier Transform, and wavelets. Each topic is accompanied by Torch code that readers can experiment with and play with.\u003cbr\u003e\u003cbr\u003eWritten with first-hand technical expertise and in an engaging, fun-to-read style, Deep Learning and Scientific Computing with R torch is an invaluable resource for anyone interested in leveraging the power of deep learning and scientific computing in R. Whether you are a data scientist, researcher, or simply someone looking to explore the world of advanced computing, this book will provide you with the knowledge and tools you need to succeed.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWeight\u003c\/strong\u003e: 632g\u003cbr\u003e\u003cstrong\u003eDimension\u003c\/strong\u003e: 156 x 234 x 24 (mm)\u003cbr\u003e\u003cstrong\u003eISBN-13\u003c\/strong\u003e: 9781032231396\u003c\/p\u003e","brand":"Sigrid Keydana","offers":[{"title":"Paperback \/ softback","offer_id":44162060812538,"sku":"9781032231396","price":55.2,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0522\/4297\/2845\/products\/1680878360832_book.jpg?v=1681111214","url":"https:\/\/shulphink.com\/products\/deep-learning-and-scientific-computing-with-r-torch-9781032231396","provider":"Shulph Ink","version":"1.0","type":"link"}