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

Name: Deep Learning with R, Second Edition (häftad, eng)
SKU: 117316923
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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:

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

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 .

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.

what''s inside

Image classification and image segmentation
Time series forecasting
Text classification and machine translation
Text generation, neural style transfer, and image generation

about the reader For readers with intermediate R skills.

No previous experience with Keras, TensorFlow, or deep learning is required.

Format Häftad Omfång 568 sidor Språk Engelska Förlag Manning Publications Utgivningsdatum 2022-08-03 ISBN 9781633439849

Artikel.nr.

8ac9e104-a6be-5f86-a336-4fa026f1cfb6

Egenskaper
Slag	Science Fiction
Språkversion	Engelska
Bokomslagstyp	Pocket
Antal sidor	568 sidor
Skrivet av	Francois Chollet, Tomasz Kalinowski and J. J. Allaire
Utgivare	Manning
Släpp datum	26/07/2022
International Standard Book Number (ISBN)	9781633439849