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Learn TensorFlow 2.0implement machin...

Manure, Avinash.

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

Record Type:	Electronic resources : Monograph/item
Title/Author:	Learn TensorFlow 2.0by Pramod Singh, Avinash Manure.
Reminder of title:	implement machine learning and deep learning models with Python /
Author:	Singh, Pramod.
other author:	Manure, Avinash.
Published:	Berkeley, CA :Apress :2020.
Description:	xvi, 164 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Machine learning.
Online resource:	https://doi.org/10.1007/978-1-4842-5558-2
ISBN:	9781484255582$q(electronic bk.)

Learn TensorFlow 2.0implement 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$q(electronic bk.)

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

TensorFlow.
Subjects--Topical Terms:

188639
Machine learning.

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

Dewey Class. No.: 006.31

Learn TensorFlow 2.0implement machine learning and deep learning models with Python /
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505 0 $a 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.
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