August 2019
Intermediate to advanced
202 pages
5h 9m
English
Overview
Explore the exciting advancements of TensorFlow 2.0 in this focused and practical guide. By delving into TF Keras APIs, eager execution, and distribution strategies, you will gain the hands-on experience needed to harness these powerful tools completely. Plus, it offers seamless code migration tips from TensorFlow 1.x.
What this Book will help me do
- Integrate TensorFlow/Keras APIs for efficient model design.
- Migrate existing TensorFlow 1.x projects to TensorFlow 2.0.
- Optimize ML model training across GPUs and TPUs.
- Utilize TensorBoard for comprehensive model visualizations.
- Implement deployment strategies using TensorFlow Serving and Lite.
Author(s)
Authors None Baranwal and Alizishaan Khatri are experienced practitioners in machine learning and TensorFlow development. Their expertise spans practical applications of neural networks to significant research advancements. They bring their passion for teaching to help readers excel.
Who is it for?
This book is for data scientists and ML engineers who have prior experience with TensorFlow and a desire to learn its latest version. It is ideal if you need to migrate old projects to TensorFlow 2.0 while gaining insights into new features, such as eager execution and extended Keras support.
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