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Self-Driving Car with JavaScript Course Neural Networks and Machine Learning

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Rating: 4.5; Vote: 2

Learn how to create a neural network using JavaScript with no libraries. In this course you will learn to make a self-driving car simulation by implementing every component step-by-step. You will learn how to implement the car driving mechanics, how to define the environment, how to simulate some sensors, how to detect collisions, and how to make the car control itself using a neural network. The course covers how artificial neural networks work, by comparing them with the real neural networks in our brain. You will learn how to implement a neural network and how to visualize it so we can see it in action. Code: https://github.com/gniziemazity/Self-driving-car Course Contents (0:03:44) Car driving mechanics (0:32:26) Defining the road (0:50:50) Artificial sensors (1:10:07) Collision detection (1:23:20) Simulating traffic (1:34:57) Neural network (2:03:10) Parallelization (2:18:31) Genetic algorithm
Date: 2022-05-13

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Comments and reviews: 5

David
Hmm. Why did they go with JavaScript... I know js - everyone does - but Python is so much nicer to code. I follow the avoid js if at all possible route. It's slow though, I'll grant. I suppose it would be easy enough to watch and do it in Python.
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Azhaguraja
I can't see my comment here
(It was made of big motivational talk & thanking freecodecamp)
Anyway,great content as it creative than many
May 12 2022 11:17 pm ist
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Andrew
Can someone explain the offsets? Looking at the neuralnetwork in isolation, what would those represent? (I understand they are the inputs for the feedForward method)
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Bayede
I was just checking around but ended up watching the entire thing.As a person who knows only C++, I have to say Javascript looks superior
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Andy
Why buy a Tesla when you can build it for free and drive it at no risk? What a fantastic course, thanks for making this available!
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