Isbn: 9781484255605 - learn tensorflow 2.0: implement machine learning and deep learning models with python (16 resultados)

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Taschenbuch. Condición: Neu. Learn TensorFlow 2.0 | Implement Machine Learning and Deep Learning Models with Python | Pramod Singh (u. a.) | Taschenbuch | xvi | Englisch | 2020 | Apress | EAN 9781484255605 | Verantwortliche Person für die EU: APress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

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Taschenbuch. 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.…

Taschenbuch. 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.…

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Covers the transition from TensorFlow 1.0&nbsp 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 .…

Taschenbuch. 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.Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 180 pp. Englisch.