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Build a Traffic Sign Recognition Model

Udacity - Self-Driving Car NanoDegree

Overview

In this project, I used convolutional neural networks to classify traffic signs. I trained and validated a model that can classify traffic sign images using the German Traffic Sign Dataset.

The model gives an accuracy of 98.57% on validation set and 97.64% on test set.

For more details, please refer to the Ipython notebook here.

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Udacity Self-driving car nanodegree Project 2

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