Deep learning to train an autonomous vehicle to mimic human driving
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Updated
Dec 13, 2016 - Python
Deep learning to train an autonomous vehicle to mimic human driving
Predict steering angle of a self driving car using behaviorial cloning
Neural Network to clone the own driving behaviour to drive a virtual car autonomously
Udacity CarND - Project 03 - Behavioral Cloning
Udacity Self-Driving Car Engineer Nanodegree. Project: Build a Driver Behavioral Cloning with Deep Learning
Deep Learning to Clone Driving Behavior
Third Project of the Udacity Self-Driving Car Nanodegree Program
Deep learning to train an autonomous vehicle to mimic human driving
Behavioral Cloning in Self Driving Cars
Behavioral cloning for self-driving cars
end to end learning for self-driving
Behavioral Cloning Project - autonomous driving based on ML supervised learning methods
Legacy code for autonomous behavior cloning rover
Self-Driving Car Nanodegree
Driving a simulated car using a convolutional neural network by training from 3 camera images only,
The main goal of the project it to clone the behavoir of a human driver and tests it in a rally game
Built and trained a convolutional neural network for end-to-end driving in a simulator, using TensorFlow and Keras. Used optimization techniques such as regularization and dropout to generalize the network for driving on multiple tracks.
End-to-End Deep Learning for Self-Driving Cars
train a deep neural network to drive a car
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