Building a neural network for avoiding obstacles on the Udacity self driving car simulator track.
I ran it on:
Keras 2.1.1
TensorFlow 1.4
https://d17h27t6h515a5.cloudfront.net/topher/2017/February/58ae46bb_linux-sim/linux-sim.zip
https://d17h27t6h515a5.cloudfront.net/topher/2017/February/58ae4594_mac-sim.app/mac-sim.app.zip
https://d17h27t6h515a5.cloudfront.net/topher/2017/February/58ae4419_windows-sim/windows-sim.zip
https://github.com/udacity/self-driving-car-sim/
To train detect_model.h5, run:
python train.py
The model.h5 is already trained to drive the track
Start the Term 1 Udacity self driving car simulator, and run:
python drive.py model.h5 data