Overview / Usage

The goals / steps of this project are the following:

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

Methodology / Approach

A model would be trained so it can decode road signs from natural images. Once the model is trained, it would be tested on new images of traffic signs that can be found on the web.

Technologies Used

CNN
OpenCV
Intel optimized Tensorflow
numpy