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- Gratis thuislevering in België vanaf € 30
- Ruim aanbod met 7 miljoen producten
Omschrijving
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.
Specificaties
Betrokkenen
- Auteur(s):
- Uitgeverij:
Inhoud
- Aantal bladzijden:
- 394
- Taal:
- Engels
- Reeks:
Eigenschappen
- Productcode (EAN):
- 9781032231389
- Verschijningsdatum:
- 5/04/2023
- Uitvoering:
- Hardcover
- Formaat:
- Genaaid
- Afmetingen:
- 156 mm x 234 mm
- Gewicht:
- 752 g
Alleen bij Standaard Boekhandel
AANGERADEN
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