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VirtualCar

This project is a direct implementation of Artificial Intelligence(AI)@TM : Learn how to build an AI.

About 21 lectures on Theoritical analysis and introduction to AI specific the building a Artificial Neural Network(ANN).

Average lecture time is about 11 minutes.

**PyTroch libraries are used on actual code implementation.

#refer: http://pytorch.org/docs/master/ for documentation on pytorch

**Spyder: an open-source cross-platform IDE was used for going about implementation.

#refer https://pythonhosted.org/spyder/ for documentation on spyder and it's installation

#resource materials for theory and introduction on: https://www.superdatascience.com/artificial-intelligence/

#Installation and integration of pytorch and Spyder is done by a anaconda: a open source distribution software for package management.

follow : installation of pytorch on windows: https://www.superdatascience.com/pytorch/

#additional 16 lectures on line by line walkthrough of ai.py code implementation os done over 16 lectures; average lecture time about 13 mins. resource material: https://www.superdatascience.com/artificial-intelligence/

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A self Driving car simulations: A Z AI Learning; Optimal Solutions.

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