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
