Deep Learning for Computer Vision with Python Book by Rosebrock

Contents

1. Preface
2. Introduction to Computer Vision
3. Guide to Convolutional Neural Networks
4. Guided Project: Building Your First Convolutional Neural Network With Keras
5. Overfitting Is Your Friend, Not Your Foe
6. Image Classification with Transfer Learning ‑ Creating Cutting Edge CNN Models
7. Guided Project ‑ Breast Cancer Classification with Keras
8. Convolutional Neural Networks ‑ Beyond Basic Architectures
9. Working with KerasCV
10. Object Detection and Segmentation ‑ R‑CNNs, RetinaNet, SSD, YOLO...
11. Guided Project: Real‑Time Road Sign Detection with YOLOv5
12. Guided Project: Image Captioning with CNNs and Transformers
13. Guided Project: DeepLabV3+ Semantic Segmentation with Keras
14. DeepDream ‑ Neural Networks That Hallucinate?
15. Optimizing Deep Learning Models for Computer Vision