Deep Learning and Scientific Computing with R torch: Sigrid Keydana, Boca Raton, FL: Chapman & Hall/CRC Press, 2023, xix + 393 pp., $180.00(H), ISBN: 978-1-032-23138-9.
"Deep Learning and Scientific Computing with R torch" by Sigrid Keydana is a book that introduces an R interface for PyTorch, a popular deep learning framework. The book is well-written and easy to follow, with plenty of illustrations and examples. It is divided into three parts: the basics of torch...
| Publicado en: | American Statistician Vol. 78; no. 2; pp. 264 - 265 |
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| Formato: | Artículo |
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Taylor & Francis Ltd
May2024
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| Acceso en línea: | Ver este registro en EBSCOhost |
| Sumario: | "Deep Learning and Scientific Computing with R torch" by Sigrid Keydana is a book that introduces an R interface for PyTorch, a popular deep learning framework. The book is well-written and easy to follow, with plenty of illustrations and examples. It is divided into three parts: the basics of torch, the implementation of deep neural networks, and the utility of torch beyond deep learning. The book covers topics such as tensors, automatic differentiation, neural network architecture, optimization algorithms, and various applications of torch. Overall, it is a valuable resource for R users interested in deep learning and scientific computing. |
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