Book Content
chapters • 11h4m total length
1. The Foundation of Self-Driving Cars
2. Dive Deep into Deep Neural Networks
3. Implementing a Deep Learning Model using Keras
4. Computer Vision for Self-Driving Cars
5. Finding Road Markings using OpenCV
6. Improving the Image Classifier with CNN
7. Road Sign Detection using Deep Learning
8. The Principles and Foundations of Semantic Segmentation
9. Implementation of Semantic Segmentation
10. Behavior Cloning using Deep Learning
11. Vehicle Detection using OpenCV and Deep Learning
12. Next Steps
