/traffic-sign-classifier-cnn

My solution to the Udacity Self-Driving Car Engineer Nanodegree Traffic Sign Classifier project.

Primary LanguageJupyter Notebook

Traffic Sign Classifier

Udacity - Self-Driving Car NanoDegree

Project Code | Project Writeup

Built and trained a deep neural network to classify traffic signs, using TensorFlow. Experimented with different network architectures. Performed image pre-processing and validation to guard against overfitting.

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The Project

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
  • Summarize the results with a written report