Self Driving Car

Description

The Objective of this project was to build a custom Convolutional Neural Network for Self Driving car. This was achieved with a Computer Vision and Tensorflow to build a neural network backend. A simple 9 layer CNN is used to develop this model. After successful training, the car(agent) was able to complete multiple laps of the track without a single mistake. To simulate the environment of Car driving, I used Udacity's Car Simulator.