Implementation of NIN(Network In Network) by chainer
git clone https://github.com/nutszebra/network_in_network.git
cd network_in_network
git submodule init
git submodule update
python main.py -p ./ -g 0
- Data augmentation
Train: Pictures are randomly resized in the range of [32, 36], then 32x32 patches are extracted randomly and are normalized locally. Horizontal flipping is applied with 0.5 probability.
Test: Pictures are resized to 32x32, then they are normalized locally. Single image test is used to calculate total accuracy. - Network detail
https://gist.github.com/mavenlin/e56253735ef32c3c296d
| network | depth | total accuracy (%) |
|---|---|---|
| my implementation | 9 | 90.10 |
| NIN [1] | 9 | 91.19 |
Network In Network [1]