In this chapter, we learned the basics of object localization, detection and segmentation. We also discussed the most famous algorithms related to those topics.
In the next chapter, we will discuss some common network architectures.
Summary
by Leonardo Araujo, Nimesh Patel, Richard Burton, Giounona Tzanidou, Iffat Zafar
Hands-On Convolutional Neural Networks with TensorFlow
- Title Page
- Copyright and Credits
- Packt Upsell
- Contributors
- Preface
- Setup and Introduction to TensorFlow
- Deep Learning and Convolutional Neural Networks
- Image Classification in TensorFlow
- Object Detection and Segmentation
- VGG, Inception Modules, Residuals, and MobileNets
- Autoencoders, Variational Autoencoders, and Generative Adversarial Networks
- Transfer Learning
- Machine Learning Best Practices and Troubleshooting
- Training at Scale
- References
- Other Books You May Enjoy
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