MNIST Competition Tensorflow KR Group
| 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% |
python resnet.py 10 # 10 epochs & resnet
python vgg16.py 10 # 10 epochs & vgg
python vgg5.py 10 # 10 epochs & vgg
├── 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
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