MNIST-Classification-Methods
This is a collection of different ML models used to classify handwritten digits, trained on the MNIST dataset.
Currently, there are examples of the following algorithms:
- Nearest Neighbor
- Linear SVC
- SVM
- Feed Forward Neural Network
- CNN
- Stacking Ensemble CNN