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German Traffic Sign Classifier – CarND assigment
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  • Alberto Escarlate
Alberto Escarlate
Udacity Self Driving Car Nanodegree
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Abstract

This is the submission for the Traffic Sign Classifier project part of Udacity Self-Drive Engineer Nanodegree. The assignment was to train a Convolutional Neural Network (CNN) model to classify traffic signs from the German Traffic Sign Dataset
Using a model based on the LeNet architecture enabled my classifier to achieve the required 93% training accuracy.