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Neural network built using Python and Keras to classify images into one of 43 categories of traffic signs. The model is trained on the German Traffic Sign Recognition Benchmark (GTSRB) dataset, which contains over 50,000 images of traffic signs.

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MaxWarrren/gtsrb_neuralnetwork

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Training data in /gtsrb folder not included in upload due to size (over 50000 training examples).

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Neural network built using Python and Keras to classify images into one of 43 categories of traffic signs. The model is trained on the German Traffic Sign Recognition Benchmark (GTSRB) dataset, which contains over 50,000 images of traffic signs.

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