Learn TensorFlow 2.0 : Implement Machine Learning and Deep Learning Models with Python

Name: Learn TensorFlow 2.0
Brand: APress
SKU: 9781484255605
Price: 7200 KES
Availability: OutOfStock
ISBN: 9781484255605

by Avinash Manure , Pramod Singh

Book Details

Format Paperback / softback

ISBN-10 1484255607

ISBN-13 9781484255605

Publisher APress

Imprint APress

Country of Manufacture GB

Country of Publication GB

Publication Date Jan 5th, 2020

Print length 164 Pages

Weight 298 grams

Dimensions 15.50 x 23.30 x 1.70 cms

Product Classification: Operating systems Programming & scripting languages: general Programming and scripting languages: general Artificial intelligence Artificial intelligence (AI)

KSh 7,200.00

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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 Learn

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

Who This Book Is For

Data scientists, machine and deep learning engineers.

Get Learn TensorFlow 2.0 by Avinash Manure, Pramod Singh at the best price and quality guaranteed only at Werezi Africa's largest book ecommerce store. The book was published by APress and it has 164 pages.