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Title: GitHub - TheOpenCode/German-Traffic-Sign-Classification-Using-TensorFlow: In this project, I used Python and TensorFlow to classify traffic signs. Dataset used: German Traffic Sign Dataset. This dataset has more than 50,000 images of 43 classes. I was able to reach a +99% validation accuracy, and a 97.3% testing accuracy.

Open Graph Title: GitHub - TheOpenCode/German-Traffic-Sign-Classification-Using-TensorFlow: In this project, I used Python and TensorFlow to classify traffic signs. Dataset used: German Traffic Sign Dataset. This dataset has more than 50,000 images of 43 classes. I was able to reach a +99% validation accuracy, and a 97.3% testing accuracy.

X Title: GitHub - TheOpenCode/German-Traffic-Sign-Classification-Using-TensorFlow: In this project, I used Python and TensorFlow to classify traffic signs. Dataset used: German Traffic Sign Dataset. This dataset has more than 50,000 images of 43 classes. I was able to reach a +99% validation accuracy, and a 97.3% testing accuracy.

Description: In this project, I used Python and TensorFlow to classify traffic signs. Dataset used: German Traffic Sign Dataset. This dataset has more than 50,000 images of 43 classes. I was able to reach a +99% validation accuracy, and a 97.3% testing accuracy. - TheOpenCode/German-Traffic-Sign-Classification-Using-TensorFlow

Open Graph Description: In this project, I used Python and TensorFlow to classify traffic signs. Dataset used: German Traffic Sign Dataset. This dataset has more than 50,000 images of 43 classes. I was able to reach a +99...

X Description: In this project, I used Python and TensorFlow to classify traffic signs. Dataset used: German Traffic Sign Dataset. This dataset has more than 50,000 images of 43 classes. I was able to reach a +99...

Opengraph URL: https://github.com/TheOpenCode/German-Traffic-Sign-Classification-Using-TensorFlow

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https://github.com/TheOpenCode/German-Traffic-Sign-Classification-Using-TensorFlow#german-traffic-sign-classification-using-tensorflow
German Traffic Sign Datasethttp://benchmark.ini.rub.de/?section=gtsrb&subsection=dataset
https://github.com/TheOpenCode/German-Traffic-Sign-Classification-Using-TensorFlow#pipeline-architecture
https://github.com/TheOpenCode/German-Traffic-Sign-Classification-Using-TensorFlow#environement
https://github.com/TheOpenCode/German-Traffic-Sign-Classification-Using-TensorFlow#step-1-load-the-data
herehttps://d17h27t6h515a5.cloudfront.net/topher/2017/February/5898cd6f_traffic-signs-data/traffic-signs-data.zip
https://github.com/TheOpenCode/German-Traffic-Sign-Classification-Using-TensorFlow#step-2-dataset-summary--exploration
https://github.com/TheOpenCode/German-Traffic-Sign-Classification-Using-TensorFlow/blob/master/traffic-signs-data/Screenshots/Train.png
https://github.com/TheOpenCode/German-Traffic-Sign-Classification-Using-TensorFlow/blob/master/traffic-signs-data/Screenshots/Test.png
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"Traffic Sign Recognition with Multi-Scale Convolutional Networks"http://yann.lecun.com/exdb/publis/pdf/sermanet-ijcnn-11.pdf
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https://github.com/TheOpenCode/German-Traffic-Sign-Classification-Using-TensorFlow#1--lenet-5
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https://github.com/TheOpenCode/German-Traffic-Sign-Classification-Using-TensorFlow/blob/master/VGGNet.png
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