Udacity Self Driving Car Nanodegree - Traffic Sign Classification
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Updated
Jun 4, 2018 - HTML
Udacity Self Driving Car Nanodegree - Traffic Sign Classification
Traffic sign recognition
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. The datasets are collected from the German Traffic Sign for training and random traffic signs downloaded from internet for testing.
Traffic sign classification based on German road signs.
Deep neural networks and convolutional neural networks to classify German traffic signs.
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