# wrn-tensorflow

**Repository Path**: cppowboy_admin/wrn-tensorflow

## Basic Information

- **Project Name**: wrn-tensorflow
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2018-02-28
- **Last Updated**: 2025-04-11

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# wrn-tensorflow

A tensorflow implementation of Wide Residual Networks(https://arxiv.org/abs/1605.07146)

<b>Reference</b>:  

1. Original code: https://github.com/szagoruyko/wide-residual-networks  
2. The data module `cifar100_input.py` is from [TensorFlow tutorial](https://www.tensorflow.org/versions/master/tutorials/deep_cnn/index.html).

<b>Prerequisite</b>

1. TensorFlow

<b>How To Run</b>

```shell
# 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
```