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Follow-up questions

Try adding/removing some CNN layers and/or fully connected layers. How does the performance change?
This simple project is proof that dropouts are necessary for regularization. Change the dropout percentage and check the overfitting-underfitting in the output.
Now, take a picture of multiple traffic signs in your city, and test the trained model in real life!

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