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Deep Learning and Scientific Computing with R torch

Deep Learning and Scientific Computing with R torch - Paperback

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Availability:In StockContributor:Sigrid KeydanaSeries:Chapman & Hall/CRC the RPublish date:2023-04-05Pages:394
Language:EnglishPublisher:CRC PressISBN-13:9781032231396ISBN-10:1032231394UPC:9781032231396Book Category:Business & Economics, Computers, MathematicsBook Subcategory:Statistics, Machine Theory, Probability & StatisticsSize:9.21 x 6.14 x 0.85 inchesWeight:1.2721Product ID:SCYY5HE2EE

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.

Language:EnglishPublisher:CRC PressISBN-13:9781032231396ISBN-10:1032231394UPC:9781032231396Book Category:Business & Economics, Computers, MathematicsBook Subcategory:Statistics, Machine Theory, Probability & StatisticsSize:9.21 x 6.14 x 0.85 inchesWeight:1.2721Product ID:SCYY5HE2EE

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.


Publisher: CRC Press

Contributor(s)

Sigrid Keydana

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