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National Repository of Grey Literature 2 records found  Search took 0.01 seconds. 
Traffic Signs Recognition by Means of Machine Learning Approach
 Zakarovský, Matúš ; Richter, Miloslav (referee) ; Horák, Karel (advisor)
This thesis researches methods of traffic sign recognition using various approaches. Technique based on machine learning utilizing convolutional neural networks was selected forfurther implementation. Influence of number of convolutional layers on neural network’s performance is studied. The resulting network is tested on German Traffic Sign Recognition Benchmark and author’s dataset.
Detailed record
Traffic Signs Recognition by Means of Machine Learning Approach
 Zakarovský, Matúš ; Richter, Miloslav (referee) ; Horák, Karel (advisor)
This thesis researches methods of traffic sign recognition using various approaches. Technique based on machine learning utilizing convolutional neural networks was selected forfurther implementation. Influence of number of convolutional layers on neural network’s performance is studied. The resulting network is tested on German Traffic Sign Recognition Benchmark and author’s dataset.
Detailed record

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