course-notes.md

The Complete Self-Driving Car Course Applied Deep-Learning - Udemy - Notes

Table of Contents

• Overview
• Course Contents
• Lab - Notebooks
• References

Overview

• Duration : 18h
• numbers of lesson : 170
• Certificate : YES

Course Contents

1. Section 1: Introduction
   • Why this course ?
   • Additional Free contents
2. Section 2: Installation tools
3. Section 3: Python crash course
4. Section 4: Numpy crash course
5. Section 5: Computer Vision - Finding Lane Lines
6. Section 6: The Perceptron
7. Section 7: Keras-Perceptron
8. Section 8: Deep Neural Network
9. Section 9: Multiclass Classification
10. Section 10: MNIST Image recognition
11. Section 11: Convolutional Neural Network
12. Section 12: Classifying Road Symbols
13. Section 13: Polynomial Regression
14. Section 14: Behavior Cloning

Lab - Notebooks

Chapiter	Notebook
to-do

References

• Hough transform - Wikipedia

• Lines Detection with Hough Transform

• What Is the Best Algorithm for Circle Detection Other Than Hough Transform?