文件列表:

get_test_DCGAN.m (1778, 2017-06-29)
get_train_DCGAN.m (6087, 2017-06-29)
main_start_dcgan.m (2022, 2017-06-29)
pax_global_header (52, 2017-03-24)

# DCGAN implementation on MatConvNet Deep Convolutional Generative Adversarial Network (DCGAN) [1] implementation on MatConvNet *Note: Any MCN version is compatible ## Prerequisites 1. Download CelebA database at: https://drive.google.com/file/d/0B7EVK8r0v71pZjFTYXZWM3FlRnM/view?usp=sharing Unzip and store it to '/data' folder such that 'data/img_align_celeba/00001.bmp..' 2. Download Pretrained DCGAN at: https://www.dropbox.com/s/dmyqd6yfga9wsm6/net_dcgan.mat?dl=0 Place it in '/net' folder such that 'net/net_dcgan.mat' ## How to play Run main_start_dcgan.m If you use GPU, set opts.idx_gpus = 1' in line 7 and opts.install.cuda_path = 'your cuda folder' in line 11) 'main_start_dcgan.m' will perform: 1. Installation of MatConvNet (ver 1.0-beta24) 2. Generation of an image DB file fitting to MatConvNet 3. Testing a pre-trained DCGAN 4. Training a new DCGAN *Note: All hyper parameters for training the network (e.g., learning rate) are identically set to [1] ## Results  [1] Radford, Alec, Luke Metz, and Soumith Chintala. "Unsupervised representation learning with deep convolutional generative adversarial networks." arXiv preprint arXiv:1511.0***34 (2015).(https://arxiv.org/abs/1511.0***34)

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