Deep Learning and Scientific Computing with R torch

Released on by Sigrid Keydana
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  • Deep Learning and Scientific Computing with R torch Book Detail

  • Author : Sigrid Keydana
  • Release Date : 2023-04-06
  • Publisher : CRC Press
  • Genre : Business & Economics
  • Pages : 414
  • ISBN 13 : 1000862933
  • File Size : 76,76 MB
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Deep Learning and Scientific Computing with R torch by Sigrid Keydana PDF Summary

Book Description: 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 classification. - Provide 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.

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