The application uses neural network to classify given image into one of ten available categories: “airplane”, “car”, “bird”, “cat”, “deer”, “dog”, “frog”, “horse”, “ship”, “truck”.
- Python 3
- numpy
- matplotlib
- tkinter
- PIL
- 'Main.py' starts the application.
- 'appdata' contains learned weights.
- Use 'Train.py' script to train neural network. It requires unpacked CIFAR-10 dataset placed in 'dataset' folder. It can be obtained from website: https://www.cs.toronto.edu/~kriz/cifar.html
- 'LearningEvalutaion.py' contains functions that help to evaluate effects of training.
- More information in the 'report.pdf' file in the 'doc' folder.