Project: Build a Traffic Sign Recognition Program

This project was built as part of the Udacity Self Driving Car Nanodegree

Overview

In this project, I used what I've learned about deep neural networks and convolutional neural networks to classify traffic signs. I trained a model so it can decode traffic signs from natural images by using the German Traffic Sign Dataset. After the model was trained, I tested it on new images of traffic signs I found online and in my neighborhood.

Dependencies

TensorFlow
Scikit-Learn
Anaconda 4.2 for Python 3.5 to install the dependencies

Dataset

Training and Test data should be downloaded from the provided url.
Unzip the pickled files into a subfolder named "traffic-signs-data subfolder".