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254163356
Deep Learning with R Second Edition
Item #:
254163356
MUR 4405
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Deep Learning with R, Second Edition shows you how to put deep learning into action. It’s based on the revised new edition of François Chollet’s bestselling Deep Learning with Python.
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- Deep learning from the ground up using R and the powerful Keras library! In Deep Learning with R, Second Edition you will learn: Deep learning from first principlesImage classification and image segmentationTime series forecastingText classification and machine translationText generation, neural style transfer, and image generationDeep Learning with R, Second Edition shows you how to put deep learning into action. It's based on the revised new edition of François Chollet's bestselling Deep Learning with Python. All code and examples have been expertly translated to the R language by Tomasz Kalinowski, who maintains the Keras and Tensorflow R packages at RStudio. Novices and experienced ML practitioners will love the expert insights, practical techniques, and important theory for building neural networks. about the technologyDeep learning has become essential knowledge for data scientists, researchers, and software developers. The R language APIs for Keras and TensorFlow put deep learning within reach for all R users, even if they have no experience with advanced machine learning or neural networks. This book shows you how to get started on core DL tasks like computer vision, natural language processing, and more using R. what's insideImage classification and image segmentationTime series forecastingText classification and machine translationText generation, neural style transfer, and image generationabout the readerFor readers with intermediate R skills. No previous experience with Keras, TensorFlow, or deep learning is required.
| Publisher | Manning Publications |
| Publication date | 26 July 2022 |
| Edition | 2nd |
| Language | English |
| Print length | 568 pages |
| ISBN-10 | 1633439844 |
| ISBN-13 | 978-1633439849 |
| Dimensions | 18.73 x 3.3 x 23.5 cm |
Product Description
Deep Learning with R Second Edition
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Customer Questions & Answers
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Question:
Is prior experience with Keras, TensorFlow, or deep learning required?
Answer: No, this book is suitable for readers with intermediate R skills and no previous experience in deep learning. -
Question:
What format does the eBook come in with the print book purchase?
Answer: The purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. -
Question:
Who are the authors of the book?
Answer: The authors are François Chollet, Tomasz Kalinowski, and J.J. Allaire.
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Features & Benefits
- Learn deep learning from first principles using R and Keras library
- Gain practical techniques for building neural networks
- Covers core DL tasks like image classification, time series forecasting, and text manipulation
- Adapted from François Chollet’s bestselling Deep Learning with Python
- Ideal for readers with intermediate R skills and no previous deep learning experience
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