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README.md
drive.py
model.h5
model.py
playground.ipynb
preprocess_util.py
preprocessed_driver_log.csv
writeup_report.md

README.md

Behavioral Cloning Project

This project features a 52 parameter squeezenet variant model that can drive around the Udacity car simulator! Check out writeup_report file for a detailed report on this project.

The following files are included:

  1. model.py containing the script to create and train the model
  2. drive.py for driving the car in autonomous mode
  3. model.h5 containing a trained convolution neural network
  4. writeup_report.md summarizing the results
  5. other helper files neeeded by model.py and drive.py

Running the Model

  1. git clone this repo
  2. Open terminal and run python drive.py model.h5
  3. Download the simulator and start it in autonomous mode.
  4. Grab a tasty beverage and enjoy.

Training the Model

  1. Git clone this repo
  2. download the data provided by udacity
  3. Open terminal and run python model.py