This project wil use deep neural networks and convolutional neural networks to classify traffic signs, train and validate a model so it can classify traffic sign images using the German Traffic Sign Dataset.
The goals / steps of this project are the following:
- Load the data set
- Explore, summarize and visualize the data set
- Design, train and test a model architecture
- Use the model to make predictions on new images
- Analyze the softmax probabilities of the new images
- Summarize the results with a written report