Deep Learning with R, Second Edition you own this product

François Chollet with Tomasz Kalinowski and J. J. Allaire
  • July 2022
  • ISBN 9781633439849
  • 568 pages
  • printed in black & white
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free previous edition eBook included

An eBook copy of the previous edition of this book is included at no additional cost. It will be automatically added to your Manning Bookshelf within 24 hours of purchase.

A must-have for scientists and technicians who want to expand their knowledge.

Fernando García Sedano, Grupo Epelsa
Look inside
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 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.

about the book

Deep Learning with R, Second Edition is a hands-on guide to deep learning using the R language. As you move through this book, you’ll quickly lock in the foundational ideas of deep learning. The intuitive explanations, crisp illustrations, and clear examples guide you through core DL skills like image processing and text manipulation, and even advanced features like transformers. This revised and expanded new edition is adapted from Deep Learning with Python, Second Edition by François Chollet, the creator of the Keras library.

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.

about the authors

François Chollet is a software engineer at Google and creator of Keras. Tomasz Kalinowski is a software engineer at RStudio and maintainer of the Keras and Tensorflow R packages. J.J. Allaire is the founder of RStudio, and the author of the first edition of this book.

FREE domestic shipping on orders of three or more print books

Whether you are new to deep learning or wanting to expand your applications in R, there is no better guide.

Michael Petrey, Boxplot Analytics

The clear illustrations and insightful examples are helpful to anybody, from beginners to experienced deep learning practitioners.

Edward Lee, Yale University

Outstandingly well written.

Shahnawaz Ali, King’s College London
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