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    DEEP LEARNING WITH R - 2022

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    Sinopse

    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.
    Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.
    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.

    Ficha Técnica

    Especificações

    ISBN9781633439849
    Pré vendaNão
    Peso840g
    Autor para link
    Livro disponível - pronta entregaNão
    Dimensões23.34 x 18.87 x 3
    IdiomaInglês
    Tipo itemLivro Importado
    Número de páginas568
    Número da edição2ª EDIÇÃO - 2022
    Código Interno1039988
    Código de barras9781633439849
    AcabamentoPAPERBACK
    AutorCHOLLET, FRANÇOIS | ALLAIRE, J. J. | KALINOWSKI, TOMASZ
    EditoraMANNING PUBLISHING
    Sob encomendaSim

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