In this project, I used a neural network with 4 convolutional layers to classify traffic signs. The training and validating details could be found in writeup.md
.
The 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
Code details could be found in Traffic_Sign_Classifier.ipynb
.