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Lab: Keras Traffic Sign Classification

Udacity - Self-Driving Car NanoDegree

Combined Image

We've prepared a Jupyter notebook that will guide you through the process of building and training a Traffic Sign Classification network with Keras.


  1. Set up your development environment with the CarND Starter Kit
  2. Launch the Jupyter notebook: jupyter notebook traffic-sign-classification-with-keras.ipynb
  3. Follow the instructions in the notebook

Since this is a self-assesd lab, you can view the solution by running the traffic-sign-classification-with-keras-solution.ipynb notebook. Make sure you're only running one notebook at a time.


Remember that you can get assistance from your mentor, Forums (click the link on the left side of the classroom), or the Slack channel. You can also review the concepts from the previous lessons, or consult external documentation.