/chainer-DenseNet

Densely Connected Convolutional Network implementation by Chainer

Primary LanguagePython

Densely Connected Convolutional Network implementation by Chainer

Implementation by Chainer. Original paper is Densely Connected Convolutional Network.

Requirements

Start training

For example, run,

python train.py --gpus 0 --batchsize 64 --dataset cifar10 --lr 0.1 --depth 100 --growth_rate 24 --split_size 4

Show possible options

python train.py --help

Sample results

  • Cifar-10 (batchsize=64, depth=100, growth_rate=24, with data augmentation)

Original paper reported 3.74% validation error under the same conditions.

  • Cifar-100 (batchsize=64, depth=100, growth_rate=24, with data augmentation)

Original paper reported 19.25% validation error under the same conditions.