Librería: Better World Books, Mishawaka, IN, Estados Unidos de America
EUR 23,08
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Añadir al carritoCondición: Very Good. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.
Librería: Books-FYI, Inc., Cadiz, KY, Estados Unidos de America
EUR 19,62
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Añadir al carritopaperback. Condición: Good. There may be a price sticker on the front or back of the book.
Librería: Lucky's Textbooks, Dallas, TX, Estados Unidos de America
EUR 28,94
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Librería: California Books, Miami, FL, Estados Unidos de America
EUR 33,03
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Librería: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
Original o primera edición
EUR 40,03
Cantidad disponible: 15 disponibles
Añadir al carritoCondición: New. 2020. First Edition. paperback. . . . . .
Librería: Chiron Media, Wallingford, Reino Unido
EUR 37,65
Cantidad disponible: 10 disponibles
Añadir al carritoPaperback. Condición: New.
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 40,79
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Añadir al carritoCondición: New. In.
Librería: Kennys Bookstore, Olney, MD, Estados Unidos de America
EUR 49,25
Cantidad disponible: 15 disponibles
Añadir al carritoCondición: New. 2020. First Edition. paperback. . . . . . Books ship from the US and Ireland.
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 48,14
Cantidad disponible: 2 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Learn how to use TensorFlow 2.0 to build machine learning and deep learning models with complete examples.The book begins with introducing TensorFlow 2.0 framework and the major changes from its last release. Next, it focuses on building Supervised Machine Learning models using TensorFlow 2.0. It also demonstrates how to build models using customer estimators. Further, it explains how to use TensorFlow 2.0 API to build machine learning and deep learning models for image classification using the standard as well as custom parameters.You'll review sequence predictions, saving, serving, deploying, and standardized datasets, and then deploy these models to production. All the code presented in the book will be available in the form of executable scripts at Github which allows you to try out the examples and extend them in interesting ways.What You'll LearnReview the new features of TensorFlow 2.0Use TensorFlow 2.0 to build machine learning and deep learning modelsPerform sequence predictions using TensorFlow 2.0Deploy TensorFlow 2.0 models with practical examplesWho This Book Is ForData scientists, machine and deep learning engineers. 180 pp. Englisch.
Librería: moluna, Greven, Alemania
EUR 40,39
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Covers the transition from TensorFlow 1.0  to TensorFlow 2.0Covers advanced techniques such as GANs and transfer learningCovers deployment of TensorFlow 2.0 based machine learning and deep learning models to .
Idioma: Inglés
Publicado por Apress, Apress Jan 2020, 2020
ISBN 10: 1484255607 ISBN 13: 9781484255605
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
EUR 48,14
Cantidad disponible: 1 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Learn how to use TensorFlow 2.0 to build machine learning and deep learning models with complete examples.APress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin 180 pp. Englisch.
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 48,72
Cantidad disponible: 1 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Learn how to use TensorFlow 2.0 to build machine learning and deep learning models with complete examples.The book begins with introducing TensorFlow 2.0 framework and the major changes from its last release. Next, it focuses on building Supervised Machine Learning models using TensorFlow 2.0. It also demonstrates how to build models using customer estimators. Further, it explains how to use TensorFlow 2.0 API to build machine learning and deep learning models for image classification using the standard as well as custom parameters.You'll review sequence predictions, saving, serving, deploying, and standardized datasets, and then deploy these models to production. All the code presented in the book will be available in the form of executable scripts at Github which allows you to try out the examples and extend them in interesting ways.What You'll LearnReview the new features of TensorFlow 2.0Use TensorFlow 2.0 to build machine learning and deep learning modelsPerform sequence predictions using TensorFlow 2.0Deploy TensorFlow 2.0 models with practical examplesWho This Book Is ForData scientists, machine and deep learning engineers.