Description

Embark on a transformative learning journey to design your first self-driving car using cutting-edge machine learning and deep learning techniques. This course illuminates the mechanics of autonomous vehicles, leading you through a structured exploration across three pivotal sections, each advancing modern enhancements in autonomous vehicle technology. Engage in hands-on projects within a simulated environment to build a self-driving car, dissecting complex challenges along the way. Rise to the competition, and strive to see your solutions operationalized in a real autonomous vehicle. Join now, and take the wheel in mastering the future of autonomous mobility.

Course curriculum

    1. Lecture 1 Welcome

    2. Lecture 2 Brief introduction

    1. Lecture 3 Setting up the environment - Part 1

    2. Lecture 4 Setting up the environment - Part 2

    1. Lecture 5 Importing the libraries

    2. Lecture 6 Creating the architecture of the Neural Network - Part 1

    3. Lecture 7 Creating the architecture of the Neural Network - Part 2

    4. Lecture 8 Implementing Experience Replay - Part 1

    5. Lecture 9 Implementing Experience Replay - Part 2

    6. Lecture 10 Implementing Experience Replay - Part 3

    7. Lecture 11 Implementing Deep Q Learning - Part 1

    8. Lecture 12 Implementing Deep Q Learning - Part 2

    9. Lecture 13 Implementing Deep Q Learning - Part 3

    10. Lecture 14 Implementing Deep Q Learning - Part 4

    11. Lecture 15 Implementing Deep Q Learning - Part 5

    12. Lecture 16 Implementing Deep Q Learning - Part 6

    13. Lecture 17 Implementing Deep Q Learning - Part 7

    14. Lecture 18 Implementing Deep Q Learning - Part 8

    1. Lecture 19 Test the self-driving car - Part 1

    2. Lecture 20 Test the self-driving car - Part 2

    3. Lecture 21 Test the self-driving car - Part 3

    4. Lecture 22 Test the self-driving car - Part 4

    1. Working Files

About this course

  • $14.99
  • 23 lessons
  • 3.5 hours of video content

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FAQs

  • What prior knowledge is required for this course?

    A basic understanding of programming and machine learning principles is advisable to fully engage with the course material.

  • Is there hands-on experience provided in this course?

    Absolutely! You'll dive into a simulated environment to build and test a self-driving car, facing real-world challenges along the way.

  • How is the course structured?

    The course is segmented into four major sections, each advancing your understanding and skills in autonomous vehicle technology.