Learn TensorFlow 2.0
- Author: Avinash Manure, Pramod Singh
- ISBN: 1484255577
- Year: 2020
- Pages: 195
- Language: English
- File size: 6.2 MB
- File format: PDF
- Category: Programming
Learn how to utilize TensorFlow 2.0 to construct machine learning and profound learning versions with complete examples.
The book begins with introducing TensorFlow 2.0 framework and the major changes from its last release. Next, it concentrates on building Supervised Machine Learning versions using TensorFlow 2.0. It also demonstrates how to build models using customer estimators. Additionally, it explains how to utilize TensorFlow 2.0 API to build machine learning and profound learning models for image classification using the standard as well as custom parameters.
You will review sequence predictions, saving, serving, deploying, and standardized datasets, and then deploy these versions to manufacturing. All the code presented in the publication will be accessible in the form of executable scripts at Github which permits you to try out the illustrations and extend them in interesting ways.
What You’ll Learn
- Review the newest features of TensorFlow 2.0
- Utilize TensorFlow 2.0 to construct machine learning and deep learning models
- Perform sequence forecasts using TensorFlow 2.0
- Deploy TensorFlow 2.0 models with practical examples
Who This Book Is For
Data scientists, machine and deep learning engineers.