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About NN 2012 Traffic
This document describes a multi-column deep neural network approach that achieved over 99% accuracy on traffic sign classification, outperforming humans. The network combines multiple deep neural networks trained on differently preprocessed versions of the data. This architecture does not require engineered features and learns representations directly from pixel data, allowing it to be robust to variations in illumination and contrast.
Detailed Information
Author: | ['fmannan'] |
---|---|
Publication Year: | 2017 |
Pages: | 15 |
Language: | English |
Format: | |
Price: | FREE |
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