Deep Learning with R, Second Edition

Deep Learning with R, Second Edition  (English, Paperback, Chollet Francois)

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    Highlights
    • Language: English
    • Binding: Paperback
    • Publisher: Manning Publications
    • Genre: Computers
    • ISBN: 9781633439849
    • Pages: 568
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  • Description
    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 Francois 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. 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.
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    Book Details
    Title
    • Deep Learning with R, Second Edition
    Imprint
    • Manning Publications
    Product Form
    • Paperback
    Publisher
    • Manning Publications
    Genre
    • Computers
    ISBN13
    • 9781633439849
    Book Category
    • Higher Education and Professional Books
    BISAC Subject Heading
    • COM044000
    Book Subcategory
    • Computing and Information Technology Books
    Language
    • English
    Dimensions
    Width
    • 32 mm
    Height
    • 234 mm
    Length
    • 186 mm
    Weight
    • 1020 gr
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