Idioma: Inglés
Publicado por Manning (edition 2nd ed.), 2022
ISBN 10: 1633439844 ISBN 13: 9781633439849
Librería: BooksRun, Philadelphia, PA, Estados Unidos de America
EUR 29,41
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Añadir al carritoPaperback. Condición: Very Good. 2nd ed. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.
Idioma: Inglés
Publicado por Manning, Shelter Island, NY, 2022
ISBN 10: 1633439844 ISBN 13: 9781633439849
Librería: Blue Whale Books, ABAA, Charlottesville, VA, Estados Unidos de America
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Añadir al carritopaperback. Condición: Near Fine. Second edition. No markings. Minor cover wear. Always securely packed. Professional booksellers since 1994. Satisfaction guaranteed.
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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 60,19
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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.
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 carritoPaperback. Condición: New.
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Idioma: Inglés
Publicado por Manning Publications, New York, 2022
ISBN 10: 1633439844 ISBN 13: 9781633439849
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
EUR 64,45
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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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EUR 61,40
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Añadir al carritoCondición: New. 2nd ed. edition NO-PA16APR2015-KAP.
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Añadir al carritoSoft cover. Condición: As New. 2nd Edition. New book w. minor dent/scratch due to transport/storage. K7P1/V50.
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Librería: Romtrade Corp., STERLING HEIGHTS, MI, Estados Unidos de America
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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
EUR 63,17
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Añadir al carritoPaperback. Condición: New.
Idioma: Inglés
Publicado por Pearson,, 2022
Librería: Books in my Basket, New Delhi, India
EUR 61,24
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Añadir al carritoSoft cover. Condición: New. ISBN:9781633439849.
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Añadir al carritoHardback. Condición: New. New copy - Usually dispatched within 4 working days.
Idioma: Inglés
Publicado por Manning Publications, New York, 2026
ISBN 10: 1633435180 ISBN 13: 9781633435186
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
EUR 83,61
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Añadir al carritoHardcover. Condición: new. Hardcover. Ready to bring R code into the AI era? Stop switching languages. Build deep learning models in pure R. Master GPT-style transformers and diffusion. Skip complex math. Launch production-ready solutions confidently. Keras 3 interface: Code modern neural networks with the simplicity R users love. Vision, text, and time series: Apply models that classify images, translate text, and predict demand. Transformers and LLMs: Generate fluent language and summaries without Python detours. Diffusion imagery: Create new pictures and explore generative art inside RStudio. Scaling and tuning: Fine-tune hyperparameters for faster training and top-tier accuracy. Interpretability tools: Explain model decisions to bosses, regulators, and stakeholders. Deep Learning with R, Third Edition pairs Keras creator Francois Chollet with R expert Tomasz Kalinowski to deliver an authoritative guide. Step-by-step chapters move from first principles to advanced projects. Clear code, concise explanations, and runnable notebooks keep learning practical. New coverage of transformers, diffusion, and GPT-style language models brings bleeding-edge AI to R. By books end, you will design, train, and deploy high-performing models, interpret their outputs, and scale them for production. Your R workflow becomes an AI powerhouse. Ideal for data scientists and analysts with intermediate R skills who crave modern deep learning capabilities. For R programmers, the R interface to the Keras deep learning library is a powerful head start on building deep learning models without switching to Python. It provides a simple, consistent API that makes deep learning accessible and simplifies the process of building neural networks, even if you have no prior experience in advanced machine learning. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Idioma: Inglés
Publicado por Manning Publications, US, 2026
ISBN 10: 1633435180 ISBN 13: 9781633435186
Librería: Rarewaves USA, OSWEGO, IL, Estados Unidos de America
EUR 87,99
Cantidad disponible: 10 disponibles
Añadir al carritoHardback. Condición: New. Ready to bring R code into the AI era? Stop switching languages. Build deep learning models in pure R. Master GPT-style transformers and diffusion. Skip complex math. Launch production-ready solutions confidently. Keras 3 interface: Code modern neural networks with the simplicity R users love. Vision, text, and time series: Apply models that classify images, translate text, and predict demand. Transformers and LLMs: Generate fluent language and summaries without Python detours. Diffusion imagery: Create new pictures and explore generative art inside RStudio. Scaling and tuning: Fine-tune hyperparameters for faster training and top-tier accuracy. Interpretability tools: Explain model decisions to bosses, regulators, and stakeholders. Deep Learning with R, Third Edition pairs Keras creator François Chollet with R expert Tomasz Kalinowski to deliver an authoritative guide. Step-by-step chapters move from first principles to advanced projects. Clear code, concise explanations, and runnable notebooks keep learning practical. New coverage of transformers, diffusion, and GPT-style language models brings bleeding-edge AI to R. By book's end, you will design, train, and deploy high-performing models, interpret their outputs, and scale them for production. Your R workflow becomes an AI powerhouse. Ideal for data scientists and analysts with intermediate R skills who crave modern deep learning capabilities.
EUR 77,66
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Añadir al carritoPaperback. Condición: Brand New. 2nd edition. 300 pages. 9.25x7.37x0.75 inches. In Stock.
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Añadir al carritoPaperback. Condición: Brand New. 2nd edition. 300 pages. 9.25x7.37x0.75 inches. In Stock.
Librería: UK BOOKS STORE, London, LONDO, Reino Unido
EUR 100,31
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Añadir al carritoPaperback. Condición: New. Brand New! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 6-10 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.
Librería: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
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Añadir al carritoCondición: New. 2026. 3rd Edition. paperback. . . . . .