| Description |
1 online resource (192 pages) |
| Contents |
Section 1: TensorFlow 2.0 -- Architecture and API Changes -- Chapter 1: Getting Started with TensorFlow 2.0 -- Chapter 2: Keras Default Integration and Eager Execution -- Section 2: TensorFlow 2.0 -- Data and Model Training Pipelines -- Chapter 3: Designing and Constructing Input Data Pipelines -- Chapter 4: Model Training and Use of TensorBoard -- Section 3: TensorFlow 2.0 -- Model Inference and Deployment and AIY -- Chapter 5: Model Inference Pipelines -- Multi-platform Deployments -- Chapter 6: AIY Projects and TensorFlow Lite -- Section 4: TensorFlow 2.0 -- Migration, Summary -- Chapter 7: Migrating From TensorFlow 1.x to 2.0 |
| Summary |
This book will cover all the new features that have been introduced in TensorFlow 2.0 especially the major highlight, including eager execution and more. You will learn how to make the best use of these features to migrate your codes from TensorFlow 1.x to TensorFlow 2.0 in a seamless way |
| Notes |
Online resource; title from digital title page (viewed on January 06, 2020) |
| Subject |
Open source software.
|
|
Machine learning.
|
|
Machine learning
|
|
Open source software
|
| Form |
Electronic book
|
| Author |
Khatri, Alizishaan
|
|
Baranwal, Tanish
|
| ISBN |
1838828834 |
|
9781838828837 |
|
