September 2019
Intermediate to advanced
358 pages
9h 31m
English
Overview
Dive into the world of neural networks with TensorFlow 2.0, a pivotal framework for developing machine learning applications. This book introduces you to both foundational concepts and advanced techniques to build efficient neural networks. By following this guide, you will master TensorFlow 2.0, enabling you to create robust models suitable for a wide range of data-driven tasks.
What this Book will help me do
- Understand the fundamental principles of machine learning and neural networks using TensorFlow 2.0.
- Configure and optimize input data pipelines using TensorFlow Datasets and improve workflow.
- Leverage advanced features of TensorFlow 2.0, such as eager execution and TensorFlow Hub.
- Design, train, and deploy neural networks to tackle object detection and generative modeling challenges.
- Prepare TensorFlow models for production use by using the SavedModel format effectively.
Author(s)
None Galeone is a seasoned professional with expertise in machine learning, artificial intelligence, and neural networks. Having spent years applying TensorFlow in real-world projects, Galeone brings a wealth of experience to this book. Dedicated to making complex topics approachable for all learners, this author has a passion for teaching and empowering developers.
Who is it for?
This book is perfect for developers aiming to expand their skills in machine learning, particularly neural networks. Beginners with a solid understanding of Python and basic calculus can find their start here. For data scientists eager to leverage TensorFlow 2.0's capabilities or ML engineers upgrading from TensorFlow 1.x, this book serves as an invaluable guide.
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