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Dataset
Dataset
 
 
Convolutional Neural Network for Traffic Sign Identification.pdf
Convolutional Neural Network for Traffic Sign Identification.pdf
 
 
Convolutional Neural Network for Traffic Sign Identification.pptx
Convolutional Neural Network for Traffic Sign Identification.pptx
 
 
No Transfer Learning CNN Multiclass - Three Epochs.ipynb
No Transfer Learning CNN Multiclass - Three Epochs.ipynb
 
 
No Transfer Learning CNN_Multiclass - Ten Epochs.ipynb
No Transfer Learning CNN_Multiclass - Ten Epochs.ipynb
 
 
README.md
README.md
 
 
VGG16 Multiclass CNN With Transfer Learning - Ten Epochs.ipynb
VGG16 Multiclass CNN With Transfer Learning - Ten Epochs.ipynb
 
 
VGG16 Multiclass CNN With Transfer Learning - Three Epochs.ipynb
VGG16 Multiclass CNN With Transfer Learning - Three Epochs.ipynb
 
 
VGG19 Multiclass CNN With Transfer Learning - Ten Epochs.ipynb
VGG19 Multiclass CNN With Transfer Learning - Ten Epochs.ipynb
 
 
VGG19 Multiclass CNN With Transfer Learning - Three Epochs.ipynb
VGG19 Multiclass CNN With Transfer Learning - Three Epochs.ipynb
 
 

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Road Sign Classification

This project explores three main CNN multiclass architectures to classify common U.S. road signs: one with VGG16 transfer learning pretrained with the ImageNet database, the similar VGG19 model, and a 19-layer architecture without pretraining.

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Brent Reynolds, Zac Cowan, Matt Rice

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Multiclass image classification of common U.S. road signs

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