CNN for Autonomous Driving

We set an early stopping rule so that the model stops training when validation loss stops improving, and we specify a batch size of 16 to determine how many image are passed through the network at a time. We use the flow_from_directory() function to pull the training and validation images that were generated in the preprocessing step by the ImageDataGenerator function from the training and validation file paths respectively.