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    Deep Learning and Scientific Computing with R torch

Deep Learning and Scientific Computing with R torch

Sigrid Keydana
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      FORMAT: Hardback

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      torch 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++.Though still "young" as a project, R torch already has a vibrant community of users and developers. Experience shows that torch users come from a broad range of different backgrounds. This book aims to be useful to (almost) everyone. Globally speaking, its purposes are threefold:Provide a thorough introduction to torch basics – both by carefully explaining underlying concepts and ideas, and showing enough examples for the reader to become "fluent" in torch Again with a focus on conceptual explanation, show how to use torch in deep-learning applications, ranging from image recognition over time series prediction to audio classificationProvide a concepts-first, reader-friendly introduction to selected scientific-computation topics (namely, matrix computations, the Discrete Fourier Transform, and wavelets), all accompanied by torch code you can play with.Deep Learning and Scientific Computing with R torch is written with first-hand technical expertise and in an engaging, fun-to-read way.
      Format: Hardback CONTRIBUTORS: Sigrid Keydana EAN: 9781032231389 COUNTRY: United Kingdom PAGES: WEIGHT: 925 g HEIGHT: 234 cm
      PUBLISHED BY: Taylor & Francis Ltd DATE PUBLISHED: 2023-04-05 CITY: GENRE: BUSINESS & ECONOMICS / Statistics, COMPUTERS / Machine Theory, MATHEMATICS / Probability & Statistics / General WIDTH: 156 cm SPINE:

      Book Themes:

      Probability and statistics, Automatic control engineering, Artificial intelligence

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      Sigrid 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.
      torch 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++.Though still "young" as a project, R torch already has a vibrant community of users and developers. Experience shows that torch users come from a broad range of different backgrounds. This book aims to be useful to (almost) everyone. Globally speaking, its purposes are threefold:Provide a thorough introduction to torch basics – both by carefully explaining underlying concepts and ideas, and showing enough examples for the reader to become "fluent" in torch Again with a focus on conceptual explanation, show how to use torch in deep-learning applications, ranging from image recognition over time series prediction to audio classificationProvide a concepts-first, reader-friendly introduction to selected scientific-computation topics (namely, matrix computations, the Discrete Fourier Transform, and wavelets), all accompanied by torch code you can play with.Deep Learning and Scientific Computing with R torch is written with first-hand technical expertise and in an engaging, fun-to-read way.
      Format: Hardback CONTRIBUTORS: Sigrid Keydana EAN: 9781032231389 COUNTRY: United Kingdom PAGES: WEIGHT: 925 g HEIGHT: 234 cm
      PUBLISHED BY: Taylor & Francis Ltd DATE PUBLISHED: 2023-04-05 CITY: GENRE: BUSINESS & ECONOMICS / Statistics, COMPUTERS / Machine Theory, MATHEMATICS / Probability & Statistics / General WIDTH: 156 cm SPINE:

      Book Themes:

      Probability and statistics, Automatic control engineering, Artificial intelligence

      Customer Reviews

      Be the first to write a review
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      Sigrid 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.

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