This project is an implementation of LeNet ConvNet that takes 32 x 32 x RGB images of German Traffic Sign, as input. Each image undergoes a set of algorithms for preprocessing, then is run through my own implementation of LeNet ConvNet determining and labeling each Traffic Sign fed into the network with an accuracy of 93.5 %
Please check the writeup report for further details
*For further info, check a copy of my Jupyter Notebook as .html or check the .ipynb file