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- Deep Learning with R, Second Edition (häftad, eng)

Deep Learning with R, Second Edition (häftad, eng)
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Produktbeskrivning
Deep learning from the ground up using R and the powerful Keras library!
In Deep Learning with R, Second Edition you will learn:
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.
In Deep Learning with R, Second Edition you will learn:
- Deep learning from first principles
- Image classification and image segmentation
- Time series forecasting
- Text classification and machine translation
- Text generation, neural style transfer, and image generation
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 technology
Deep 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.
Format | Häftad |
Omfång | 568 sidor |
Språk | Engelska |
Förlag | Manning Publications |
Utgivningsdatum | 2022-08-03 |
ISBN | 9781633439849 |
Specifikation
Böcker
- Format Häftad
- Antal sidor 568
- Språk Engelska
- Utgivningsdatum 2022-08-03
- ISBN 9781633439849
- Förlag Manning Publications
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Specifikation
Böcker
- Format Häftad
- Antal sidor 568
- Språk Engelska
- Utgivningsdatum 2022-08-03
- ISBN 9781633439849
- Förlag Manning Publications
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