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CNN Deep Learning for Autonomous Cars by Amir is a document available to read on EtoBox.

What is CNN Deep Learning for Autonomous Cars about?

This paper discusses using a CNN deep learning algorithm for autonomous vehicle navigation. The system is designed to create and learn from a pre-collected image dataset, and then implement the learned model in an open simulation. In the simulation, the autonomous car navigates its surroundings with high accuracy by observing the environment. The CNN architecture uses convolution, pooling and fully connected layers to extract features from images and generate a steering model to control the vehicle. Backpro

Author

Amir

Language

EN