Build self-driving cars with Genetic Algorithms from scratch

Learn how to train Neural Networks with Python to create autonomous cars without AI frameworks and libraries
4.67 (42 reviews)
Udemy
platform
English
language
Data Science
category
Loek van den Ouweland
instructor
Build self-driving cars with Genetic Algorithms from scratch
334
students
2 hours
content
Aug 2024
last update
$74.99
regular price

What you will learn

Create a Neural Network that translates car sensors to car controls

Train a Neural Network with a Genetic Algorithm

Combine Genetic Operators like Select, Cross over and Mutation

Create a window and draw backgrounds and cars with Pyglet

Build a car simulation to evolve car brains

Choose and build a suitable fitness function

Course Gallery

Build self-driving cars with Genetic Algorithms from scratch – Screenshot 1
Screenshot 1 – Build self-driving cars with Genetic Algorithms from scratch
Build self-driving cars with Genetic Algorithms from scratch – Screenshot 2
Screenshot 2 – Build self-driving cars with Genetic Algorithms from scratch
Build self-driving cars with Genetic Algorithms from scratch – Screenshot 3
Screenshot 3 – Build self-driving cars with Genetic Algorithms from scratch
Build self-driving cars with Genetic Algorithms from scratch – Screenshot 4
Screenshot 4 – Build self-driving cars with Genetic Algorithms from scratch

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5743438
udemy ID
03/01/2024
course created date
19/01/2024
course indexed date
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