Idioma: Inglés
Publicado por Manning (edition 2nd ed.), 2022
ISBN 10: 1633439844 ISBN 13: 9781633439849
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Idioma: Inglés
Publicado por Manning, Shelter Island, NY, 2022
ISBN 10: 1633439844 ISBN 13: 9781633439849
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Idioma: Inglés
Publicado por Manning Publications, US, 2022
ISBN 10: 1633439844 ISBN 13: 9781633439849
Librería: Rarewaves.com USA, London, LONDO, Reino Unido
EUR 60,11
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Añadir al carritoPaperback. Condición: New. 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 principlesImage classification and image segmentationTime series forecastingText classification and machine translationText 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. what's inside Image classification and image segmentationTime series forecastingText classification and machine translationText 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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Añadir al carritoCondición: New. 2nd ed. edition NO-PA16APR2015-KAP.
Idioma: Inglés
Publicado por Manning Publications, New York, 2022
ISBN 10: 1633439844 ISBN 13: 9781633439849
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EUR 64,37
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Añadir al carritoPaperback. Condición: new. Paperback. 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 principlesImage classification and image segmentationTime series forecastingText classification and machine translationText 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 segmentationTime series forecastingText classification and machine translationText 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Idioma: Inglés
Publicado por Manning Publications 2022-08-03, 2022
ISBN 10: 1633439844 ISBN 13: 9781633439849
Librería: Chiron Media, Wallingford, Reino Unido
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Añadir al carritoCondición: New. 2022. 2nd Edition. Paperback. . . . . .