You're reading from Hands-On Neural Networks with TensorFlow 2.0

Product typeBook

Published inSep 2019

Reading LevelExpert

PublisherPackt

ISBN-139781789615555

Edition1st Edition

Languages

Python

Tools

TensorFlow

Concepts

Neural Networks

Author (1)

Paolo Galeone

Section 3: The Application of Neural Networks

This section teaches you how to implement various neural network applications in a variety of domains and demonstrates how powerful neural networks are, especially when used with a good framework such as TensorFlow. At the end of this section, you will have theoretical, as well as practical, knowledge of different neural network architectures, and you will know how to implement them and how to put a model into production using the SavedModel format.

This section comprises the following chapters:

Chapter 6, Image Classification Using TensorFlow Hub
Chapter 7, Introduction to Object Detection
Chapter 8, Semantic Segmentation and Custom Dataset Builder
Chapter 9, Generative Adversarial Networks
Chapter 10, Bringing a Model to Production

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Author (1)

Paolo Galeone

Paolo Galeone is a computer engineer with strong practical experience. After getting his MSc degree, he joined the Computer Vision Laboratory at the University of Bologna, Italy, as a research fellow, where he improved his computer vision and machine learning knowledge working on a broad range of research topics. Currently, he leads the Computer Vision and Machine Learning laboratory at ZURU Tech, Italy. In 2019, Google recognized his expertise by awarding him the title of Google Developer Expert (GDE) in Machine Learning. As a GDE, he shares his passion for machine learning and the TensorFlow framework by blogging, speaking at conferences, contributing to open-source projects, and answering questions on Stack Overflow.
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