TensorFlow 2.0 in Action

TensorFlow 2.0 in Action is a practical guide to building deep learning models with the new features of TensorFlow 2.0, covering techniques such as transformer and attention models and using pretrained models to solve data science problems.

Format: Paperback / softback
Length: 325 pages
Publication date: 03 October 2022
Publisher: Manning Publications

This comprehensive guide to constructing deep learning models with the latest features of TensorFlow 2.0 is packed with engaging projects, straightforward language, and comprehensive coverage of the most recent algorithms.

TensorFlow 2.0 in Action will guide you through the process of utilizing the new features of TensorFlow 2.0 to develop sophisticated deep learning models. You'll learn through hands-on projects such as an image classifier capable of recognizing objects, a French-to-English machine translator, and even a neural network capable of generating fiction. You'll delve into the intricacies of modern deep learning techniques, including transformer and attention models, and discover how pretrained models can address complex data science challenges.

TensorFlow, developed by Google, is a groundbreaking framework that handles repetitive low-level operations, allowing you to dedicate your efforts to advancing your AI capabilities. It encompasses nearly every aspect of a deep learning pipeline, providing a comprehensive solution for building, monitoring, optimizing, and deploying your models.

Weight: 1160g
Dimension: 234 x 190 x 40 (mm)
ISBN-13: 9781617298349