Chainer Conditional DCGAN
Chainer implementation of Conditional DCGAN.
Installation
$ cp filelist.txt{.example,}
$ pip install -r requirements.txt
Usage
Training
$ python train.py -i <input filelist>
Inference
$ python generate.py -l <label> -m <generator model>
Using trained model
$ python generate.py -l <label> -m model/mnist-gen.npz
mnist-gen.npz is a model that learned MNIST data with batchsize=100, epoch=20.