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Building self-driving cars in Python from Scratch
Published 1/2024 Created by Loek van den Ouweland MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 26 Lectures ( 1h 59m ) | Size: 880 MB Learn how to train Neural Networks with Genetic Algorithms to create autonomous cars without AI frameworks and libraries What you'll 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 Requirements: Beginner experience in Python or another programming language Basic math skills Python 3.12 + Description: Who this course is for: developers who want to use their basic Python skills to program self-driving cars developers who want to understand Neural Networks and Genetic Algorithms by building them from the ground up