Traffic Sign Classifier

The goals / steps of this project are the following:

• Load the data set (see below for links to the project data set)
• Explore, summarize and visualize the data set
• Design, train and test a model architecture
• Use the model to make predictions on new images
• Analyze the softmax probabilities of the new images

Project files

The project page is on Github. This writeup can at writeup.md and the Jupyter notebook, that has all the code can be accessed at Traffic_Sign_Classifier.ipynb and as an html file, Traffic_Sign_Classifier.html

The dataset that was used is the German Traffic Sign Dataset.