A tensorflow implementation of Wide Residual Networks(https://arxiv.org/abs/1605.07146)
Reference:
- Original code: https://github.com/szagoruyko/wide-residual-networks
Prerequisite
- Python 3
- TensorFlow 1.8+
How To Run
# Clone the repo.
git clone https://github.com/dalgu90/wrn-tensorflow.git
cd wrn-tensorflow
# Download CIFAR-100 dataset
wget https://www.cs.toronto.edu/~kriz/cifar-100-binary.tar.gz
tar xvf cifar-100-binary.tar.gz
# Run! (WRN-28-1)
./train.sh
# To evaluate
./eval.sh wrn_28_1 4 1