{"product_id":"deep-learning-and-scientific-computing-with-r-torch-paperback","title":"Deep Learning and Scientific Computing with R torch - Paperback","description":"\u003cp\u003eby \u003cb\u003eSigrid Keydana\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003etorch is an R port of PyTorch, one of the two most-employed deep learning frameworks in industry and research. It is also an excellent tool to use in scientific computations. It is written entirely in R and C\/C++.\u003c\/p\u003e \u003cp\u003eThough still \"young\" as a project, R \u003ci\u003etorch\u003c\/i\u003e already has a vibrant community of users and developers. Experience shows that \u003ci\u003etorch\u003c\/i\u003e users come from a broad range of different backgrounds. This book aims to be useful to (almost) everyone. Globally speaking, its purposes are threefold: \u003c\/p\u003e \u003cul\u003e \u003cli\u003eProvide a thorough introduction to \u003ci\u003etorch\u003c\/i\u003e basics - both by carefully explaining underlying concepts and ideas, \u003ci\u003eand\u003c\/i\u003e showing enough examples for the reader to become \"fluent\" in \u003ci\u003etorch\u003c\/i\u003e\n\u003c\/li\u003e \u003cli\u003eAgain with a focus on conceptual explanation, show how to use \u003ci\u003etorch\u003c\/i\u003e in deep-learning applications, ranging from image recognition over time series prediction to audio classification\u003c\/li\u003e \u003cli\u003eProvide a concepts-first, reader-friendly introduction to selected scientific-computation topics (namely, matrix computations, the Discrete Fourier Transform, and wavelets), all accompanied by \u003ci\u003etorch\u003c\/i\u003e code you can play with.\u003c\/li\u003e\n\u003c\/ul\u003e \u003cp\u003eDeep Learning and Scientific Computing with R torch is written with first-hand technical expertise and in an engaging, fun-to-read way.\u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eSigrid Keydana is an Applied Researcher at Posit (formerly RStudio, PBC). She has a background in the humanities, psychology, and information technology, and is passionate about explaining complex concepts in a concepts-first, comprehensible way.\u003c\/p\u003e\u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 394\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.85 x 9.21 x 6.14 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 April 05, 2023\u003c\/div\u003e","brand":"Books by splitShops","offers":[{"title":"Default Title","offer_id":42706102943807,"sku":"9781032231396","price":119.86,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0105\/8226\/1823\/files\/2ab0c3af1efc1ca0bc04926ee109ee24.webp?v=1765039195","url":"https:\/\/dhl-adrianne.myshopify.com\/products\/deep-learning-and-scientific-computing-with-r-torch-paperback","provider":"BBB","version":"1.0","type":"link"}