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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.
| Autorius: | Sigrid Keydana |
| Leidėjas: | Chapman and Hall/CRC |
| Išleidimo metai: | 2023 |
| Knygos puslapių skaičius: | 414 |
| ISBN-10: | 1032231386 |
| ISBN-13: | 9781032231389 |
| Formatas: | 240 x 161 x 27 mm. Knyga kietu viršeliu |
| Kalba: | Anglų |
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