In this project, I used what I've learned about deep neural networks and convolutional neural networks to clone driving behavior. I created a model based on a paper from NVIDIA using Keras.
Udacity provided a simulator which I used to steer a car around a track for data collection. I trained a neural network with image data and steering angles from the simulator. Then I used this model to drive the car autonomously around the track.
For a description of the steps I took to meet the requirements in the project rubric and an example of my output, see my writeup here.
Here is a list of the files I've included in my project:
- model.py (script used to create and train the model)
- drive.py (script to drive the car)
- model.h5 (a trained Keras model)
- model.json (an outline of the model)
- writeup.md (a report writeup file)