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Learn TensorFlow 2.0 = implement mac...

Singh, Pramod.

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Learn TensorFlow 2.0 = implement machine learning and deep learning models with Python /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Learn TensorFlow 2.0/ by Pramod Singh, Avinash Manure.
其他題名:	implement machine learning and deep learning models with Python /
作者:	Singh, Pramod.
其他作者:	Manure, Avinash.
出版者:	Berkeley, CA :Apress : : 2020.,
面頁冊數:	xvi, 164 p. :ill., digital ;24 cm.
內容註:	Chapter 1: Introduction to TensorFlow 2.0 -- Chapter 2: Supervised Learning with TensorFlow 2.0 -- Chapter 3: Neural Networks and Deep Learning with TensorFlow 2.0 -- Chapter 4: Images with TensorFlow 2.0 -- Chapter 5: NLP Modeling with TensorFlow 2.0 -- Chapter 6: TensorFlow Models in Production.
Contained By:	Springer eBooks
標題:	Machine learning. -
電子資源:	https://doi.org/10.1007/978-1-4842-5558-2
ISBN:	9781484255582

Learn TensorFlow 2.0 = implement machine learning and deep learning models with Python /
Singh, Pramod.

Learn TensorFlow 2.0implement machine learning and deep learning models with Python /[electronic resource] :by Pramod Singh, Avinash Manure. - Berkeley, CA :Apress :2020. - xvi, 164 p. :ill., digital ;24 cm.

Chapter 1: Introduction to TensorFlow 2.0 -- Chapter 2: Supervised Learning with TensorFlow 2.0 -- Chapter 3: Neural Networks and Deep Learning with TensorFlow 2.0 -- Chapter 4: Images with TensorFlow 2.0 -- Chapter 5: NLP Modeling with TensorFlow 2.0 -- Chapter 6: TensorFlow Models in Production.

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. You will: Review the new features of TensorFlow 2.0 Use TensorFlow 2.0 to build machine learning and deep learning models Perform sequence predictions using TensorFlow 2.0 Deploy TensorFlow 2.0 models with practical examples.

ISBN: 9781484255582

Standard No.: 10.1007/978-1-4842-5558-2doiSubjects--Uniform Titles:

TensorFlow.
Subjects--Topical Terms:

533906
Machine learning.

LC Class. No.: Q325.5 / .S564 2020

Dewey Class. No.: 006.31

Learn TensorFlow 2.0 = implement machine learning and deep learning models with Python /
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520 $a 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. You will: Review the new features of TensorFlow 2.0 Use TensorFlow 2.0 to build machine learning and deep learning models Perform sequence predictions using TensorFlow 2.0 Deploy TensorFlow 2.0 models with practical examples.
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