In this project a convolutional neural network (CNN) is trained to learn the behavior of a car using data from a simulator that allows real-time information gathering from the car’s chassis, position and its speed. As a first step the vehicle is driven in a manual mode of simulation for collecting data. Then the neural network uses information f…

we took nearly 100000 teacher details for training and a small amount of them for testing where we used 1 for least recommended and 5 for most recommended as output for training data.