Hands-On Computer Vision with TensorFlow 2

Table of Contents

1. Computer Vision and Neural Networks
2. TensorFlow Basics and Training a Model
3. Modern Neural networks
4. Influential Classification Tools
5. Object Detection Models
6. Enhancing and Segmenting Images
7. Training on Complex and Scarce Datasets
8. Video and Recurrent Neural Networks
9. Optimizing Models and Deploying on Mobile Devices
10. Appendix