The project uses deep neural networks and convolutional neural networks to clone driving behavior. The training, validation and testing of the model is done using Keras. The model will output a steering angle to an autonomous vehicle.
Steps involved in the completion of the project
- Use the simulator to collect data of good driving behavior
- Build, a convolution neural network in Keras that predicts steering angles from images
- Train and validate the model with a training and validation set
- Test that the model successfully drives around track one without leaving the road
For detailed explanation please refer behaviour clonning.