This is the 3rd project in term1 for the Self-Driving Car Engineer Nanodegree program at Udacity

The project used deep neural networks and Convolutional Neural Networks to classify traffic signs.

The project implemented classical LeNet Architecture using TensorFlow

The steps involved in this project are the following:

• Load the 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
• Summarize the results with a written report

Here is my Project Report/Writeup
Learn about Project Requirements