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