Singh avinash (298 Ergebnisse)

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Zustand: New. pp. vii + 270 Illus.

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Zustand: New. pp. vi + 296.

Zustand: New. pp. vi + 406.

Zustand: New. pp. vii + 270.

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Zustand: New. pp. vi + 296.

Zustand: New. pp. vi + 406.

Paperback. Zustand: Brand New. 230 pages. 9.00x6.00x0.52 inches. In Stock.

Paperback. Zustand: New. 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 models Perform sequence predictions using TensorFlow 2.0Deploy TensorFlow 2.0 models with practical examplesWho This Book Is ForData scientists, machine and deep learning engineers.…

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Soft cover. Zustand: New. Contents: Preface. 1. Bees and their importance. 2. Stingless bees diversity. 3. Nest architecture and identification of Stingless bees. 4. Colony organization and life cycle. 5. Social behaviour of stingless bees. 6. Stingless beekeeping equipment. 7. Meliponiculture: handling of bee colonies. 8. Flora of stingless bees. 9. Management of stingless bees. 10. Biotic stresses in meliponiculture. 11. Bee poisoning. 12. Hive products of stingless bees. 13. Pollination - an essential service. 14. Stingless bees - present and future in India. References. Appendix. Index. 'Stingless Bees - an unexplored pollinator in India' is the first attempt to describe the status of stingless beekeeping in the country. The different aspects of stingless bees are discussed in detail with pictures and illustrations. This book provides an insight on the importance of bees and the diversity of stingless bees in the country and globe. The information is presented in a systematic manner split across 14 chapters discussing about the nest architecture of stingless bees; colony organization and life cycle; meliponiculture and the different equipment required for scientific beekeeping; management strategies for scientific handling of bees; various stresses hampering bee health and performance; bee products and their nutraceutical properties. Besides this, the role of stingless bees as a pollinator is described with the important pollination traits exhibited by these small bees. This book offers and informative and pictorial representation of different aspects of stingless bee keeping in the country and the overall status in the world and evidently the authors tried to do justice to stingless been, through this publication. …

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Paperback. Zustand: Brand New. 225 pages. 8.75x7.25x0.75 inches. In Stock.

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Paperback. Zustand: New. 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 models Perform sequence predictions using TensorFlow 2.0Deploy TensorFlow 2.0 models with practical examplesWho This Book Is ForData scientists, machine and deep learning engineers.…

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