michaelzhang917 / carnd-p2-traffic-sign-classifier Goto Github PK

In this project, you will use what you've learned about deep neural networks and convolutional neural networks to classify traffic signs. You will train and validate a model so it can classify traffic sign images using the German Traffic Sign Dataset. After the model is trained, you will then try out your model on images of German traffic signs that you find on the web.

We have included an Ipython notebook that contains further instructions and starter code. Be sure to download the Ipython notebook.

We also want you to create a detailed writeup of the project. Check out the writeup template for this project and use it as a starting point for creating your own writeup. The writeup can be either a markdown file or a pdf document.

To meet specifications, the project will require submitting three files:

• the Ipython notebook with the code
• the code exported as an html file
• a writeup report either as a markdown or pdf file