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1. Section 1: Introduction to Computer Vision and Neural Networks
2. Computer Vision and TensorFlow Fundamentals
3. Content Recognition Using Local Binary Patterns
4. Facial Detection Using OpenCV and CNN
5. Deep Learning on Images
6. Section 2: Advanced Concepts of Computer Vision with TensorFlow
7. Neural Network Architecture and Models
8. Visual Search Using Transfer Learning
9. Object Detection Using YOLO
10. Semantic Segmentation and Neural Style Transfer
11. Section 3: Advanced Implementation of Computer Vision with TensorFlow
12. Action Recognition Using Multitask Deep Learning
13. Object Detection Using R-CNN, SSD, and R-FCN
14. Section 4: TensorFlow Implementation at the Edge and on the Cloud
15. Deep Learning on Edge Devices with CPU/GPU Optimization
16. Cloud Computing Platform for Computer Vision
17. Other Books You May Enjoy
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