This is the submission for the Traffic Sign Classifier project part of Udacity Self-Drive Engineer Nanodegree. The assignment was to train a Convolutional Neural Network (CNN) model to classify traffic signs from the German Traffic Sign Dataset. Using a model based on the LeNet architecture enabled my classifier to achieve the required 93% training accuracy.