=================================================== Densely Connected Convolutional Networks by Chainer

This is an experimental implementation of Densely Connected Convolutional Networks <https://arxiv.org/abs/1608.06993>_ using Chainer framework.

• Original paper: https://arxiv.org/abs/1608.06993
• Official implementation: https://github.com/liuzhuang13/DenseNet

Requirements

• Chainer <http://chainer.org>_ 2.0+
• CuPy <https://cupy.chainer.org>_ 1.0+

Usage

Train a DenseNet on CIFAR-10 dataset using::

python code/train.py --gpu 0 -o result

Visualize training result using::

python code/visualize.py result/log -o result

Sample Result

.. image:: img/training_loss.png :width: 400

.. image:: img/test_error.png :width: 400

• Model parameters: L = 40, k = 12
• Batch size: 64
• Dataset: C10 (CIFAR-10 dataset without data augmentation)