This Project covers the widespan of steps as follows:
- The Project is based on the Behavioral cloning, generating the datas from the Udacity-Self driving Car Simulator(Open Source)
- Analysis of the csv file using pandas library, with the particular feauture selection. - Steering angle.
- Image Preprocessing - a. image pixels's normalisation.
- Training and Validation Split of the data.
- Utilisation of the Data Augmentation Techniques to generate more training dataset, so that over model predicts with a better accuracy and drops out the problem of overfitting.
- And Furthermore
REFERENCES : {The Complete Self-Driving Car Course - Applied Deep Learning} (https://www.udemy.com/course/applied-deep-learningtm-the-complete-self-driving-car-course/learn/lecture/11375984#overview)