MNIST Competition Tensorflow KR Group MNIST competition submission files Used Keras Model Architecture ResNet VggNet VggNet5 Performance Model Description Accuracy VGG-like VGGNet-like but smaller 99.71% Resnet-like ResNet-like but smaller 99.60% VGG-like VGGNet-like but even smaller than the first one 99.63% Final Ensemble 3 models + Voting 99.80% Run Evaluation python evaluation.py Train python resnet.py 10 # 10 epochs & resnet python vgg16.py 10 # 10 epochs & vgg python vgg5.py 10 # 10 epochs & vgg File descriptions ├── evaluation.py # evaluation.py ├── images # model architectures │ ├── resnet.png │ ├── vggnet5.png │ └── vggnet.png ├── MNIST # mnist data (not included in this repo) │ ├── t10k-images-idx3-ubyte.gz │ ├── t10k-labels-idx1-ubyte.gz │ ├── train-images-idx3-ubyte.gz │ └── train-labels-idx1-ubyte.gz ├── model # model weights │ ├── resnet.h5 │ ├── vggnet5.h5 │ └── vggnet.h5 ├── model.py # base model interface ├── README.md ├── utils.py # helper functions ├── resnet.py ├── vgg16.py └── vgg5.py Model Architectures ResNet VggNet VggNet5
