TensorFlow 2.0 Computer Vision Cookbook

Table of Contents

1. Getting Started with TensorFlow 2.x for Computer Vision
2. Performing Image Classification
3. Harnessing the Power of Pre-Trained Networks with Transfer Learning
4. Enhancing and Styling Images with DeepDream, Neural Style Transfer, and Image Super-Resolution
5. Reducing Noise with Autoencoders
6. Generative Models and Adversarial Attacks
7. Captioning Images with CNNs and RNNs
8. Fine-Grained Understanding of Images through Segmentation
9. Localizing Elements in Images with Object Detection
10. Applying the Power of Deep Learning to Videos
11. Streamlining Network Implementation with AutoML
12. Boosting Performance