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CNN Model for Autonomous Cars by oussama zemzi is a document available to read on EtoBox.

This document discusses building a CNN model for autonomous vehicles using the Udacity simulator. It begins with an introduction to deep learning and CNNs. It then discusses related work applying CNNs to autonomous driving. It provides an overview of the basic CNN architecture including the input, hidden, and output layers. It describes the Udacity simulator which can be used to generate training data and test a model, providing screenshots of the simulator interface.

Author
oussama zemzi
Language
EN