Skip to content

hlfshell/Udacity-CarND-Traffic_Sign_Classifier

Repository files navigation

Project: Build a Traffic Sign Recognition Program

Udacity - Self-Driving Car NanoDegree

Overview

In this project, I will be using the German Traffic Sign Dataset combined with the LeNet CNN architecture to create a deep neural network that can identify signs.

This is a project from term 1 of the self driving car nanodegree program at Udacity.

WRITEUP.md contains the project writeup.

The evaluation-signs folder contains the images used for the "off the internet" testing of the model.

The jupyter notebook should be viewable through the .pynb file or the .html export of the notebook.

About

Using Deep Learning / LeNet CNN architecture to identify traffic signs

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published