Deep Learning and Scientific Computing with R torch
96,00 €*
Sofort verfügbar, Lieferzeit: 1-3 Tage
Produktnummer:
9781032231396
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.
| Autor: | Keydana, Sigrid |
|---|---|
| EAN: | 9781032231396 |
| Sprache: | Englisch |
| Seitenzahl: | 414 |
| Produktart: | kartoniert, broschiert |
| Verlag: | Chapman and Hall/CRC |
| Veröffentlichungsdatum: | 05.04.2023 |
| Schlagworte: | Intelligenz / Künstliche Intelligenz KI Künstliche Intelligenz - AI Mathematik / Informatik, Computer Ökonometrie Regelungstechnik Statistik / Wirtschaftsstatistik Wirtschaftsstatistik |
| Größe: | 22 × 156 × 234 |
| Gewicht: | 626 g |
