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Deep Learning and Scientific Computing with R torch

by Keydana , Sigrid
Save 35% Save 35%
Current price ₹4,705.00
Original price ₹7,238.00
Original price ₹7,238.00
Original price ₹7,238.00
(-35%)
₹4,705.00
Current price ₹4,705.00

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Book cover type: Paperback
  • ISBN13: 9781032231396
  • Binding: Paperback
  • Subject: Mathematics and Statistics
  • Publisher: T&F
  • Publisher Imprint: CRC/CH
  • Publication Date:
  • Pages: 414
  • Original Price: GBP 57.99
  • Language: English
  • Edition: N/A
  • Item Weight: 4532 grams
  • BISAC Subject(s): Statistics, Machine Theory, and Probability & Statistics / General

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.

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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