This repository contains the Traffic sign classification project (Project 2) of Udacity's Self Driving Car Nanodegree.
The classifier runs a Convolutional Neural Network, and is built using Tensorflow.
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traffic_sign_classifier.ipynb : Project's Jupyter notebook.
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traffic_sign_classifier.html : HTML version of the Jupyter notebook.
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writeup : Project writeup, which is just the Jupyter notebook in Markdown format (traffic_sign_classifier.md), capturing the nitty-gritty details during the course of the project.
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lenet.* : Trained Tensorflow model.
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signnames.csv : Mapping of German traffic road signs and their class-labels.
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scripts : Scripts containing classes and methods that were written during the development stage.