Autopilot written in Keras for Self Driving Cars
student, nomad in machine learning
Autopilot written in Keras for Self Driving Cars launched on November 17, 2019 with 144 votes, #165 of 3,203 launches that month and more than 95% of that year's launches. The site was still online in September 2026, 6 years on.
In plain words
This project implements an autopilot system for self-driving cars using Keras, a machine learning library. It is designed for developers and researchers interested in autonomous vehicle technology. The implementation demonstrates how to build neural network models for vehicle control, making it suitable for those learning about or experimenting with self-driving car applications.
written from the facts on this page · September 2026
From the sources
At the current state all we can talk about is Level 2 autonomy. Tesla is already doing a pretty good job at developing and actually shipping Level 2 self driving or rather driver assistance systems. A few days ago @karpathy presented their workflow with PyTorch and also said some numbers, to train the Autopilot system with all it neural networks you would have to spend 70,000 hours with a decent gpu - that is around 8 years (depending on which GPU you are using). In total the Autopilot is a system of 48 Neural Networks. When we compare this to what I will show you, you are gonna see that this is insane.(Tesla really does a great job). I developed a model for steering, gas and brake for one…from littlemountainman.github.io
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