This project uses deep neural networks and convolutional neural networks to classify traffic signs from the German Traffic Sign Dataset. I utilized a modified LeNet architecture for this purpose.
The project consists of a few key files/folders which describe the project in detail:
- A file containing project code (Traffic_Sign_Classifier_Dropout.ipynb): This python notebook details the steps undertaken to explore and preprocess the data, construct a neural network and train it. The notebook also allows for the validation and testing of the model.
- A file containing project code in HTML format(Traffic_Sign_Classifier_Dropout.html
- A writeup that decribes the solution (Writeup.md): This markdown file describes the network in detai and identifies some of the steps taken to train and test the model.
These were created in accordance to the project rubric