Traffic Sign Classifier

Build a neural network that can correctly identify traffic signs from the German Traffic Sign Database

Test Accuracy -- 95%
NN model -- LeNet
Color Conversion -- RGB2GRAY
Batch Size -- 64

Convolutional Neural Networks

Tensorflow

Deep Neural Networks

LeNet

Languages

Python

Tensorflow-gpu

The project code can be found here:
jupyter notebook version
python file version
helper functions
write up

Name		Name	Last commit message	Last commit date
Latest commit History 116 Commits
.idea		.idea
images_and_label_data		images_and_label_data
my_images		my_images
tensor_board		tensor_board
.gitignore		.gitignore
CODEOWNERS		CODEOWNERS
README.md		README.md
Traffic_Sign_Classifier.ipynb		Traffic_Sign_Classifier.ipynb
Traffic_Sign_Classifier.py		Traffic_Sign_Classifier.py
WriteUp.md		WriteUp.md
Writeup.ipynb		Writeup.ipynb
checkpoint		checkpoint
helper_functions.py		helper_functions.py
lenet.data-00000-of-00001		lenet.data-00000-of-00001
lenet.index		lenet.index
lenet.meta		lenet.meta
scratch_notebook.ipynb		scratch_notebook.ipynb

JohnMansell/CarND-Traffic-Sign-Classifier-Project