TensorFlow is one of the most popular machine learning frameworks, and its new version, TensorFlow 2.0, improves its simplicity and ease of use. This book will help you understand and utilize the latest TensorFlow features.
What's New in TensorFlow 2.0 starts by focusing on advanced concepts such as the new TensorFlow Keras APIs, eager execution, and efficient distribution strategies that help you to run your machine learning models on multiple GPUs and TPUs. The book then takes you through the process of building data ingestion and training pipelines, and it provides recommendations and best practices for feeding data to models created using the new tf.keras API. You'll explore the process of building an inference pipeline using TensorFlow Serving and other multi-platform deployments before moving on to explore the newly released AIY which is essentially do-it-yourself AI. This book delves into the core APIs to help you build unified convolutional and recurrent layers and use TensorBoard to visualize deep learning models using what-if analysis.
By the end of the book, you'll have learned about the compatibility between TensorFlow 2.0 and TensorFlow 1.x and will be able to smoothly migrate to TensorFlow 2.0.
