Mid-Push/GAN-MNIST

Generative Adversarial Network for MNIST with tensorflow

Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

architecture	results

Tensorflow implementation

• All the codes in this project are mere replication of Theano version

Code

• Under face/ and mnist/
• model.py
• Definition of DCGAN model
• train.py
• Training the DCGAN model (and Generating samples time to time)
• util.py
• Image related utils

Dataset

• MNIST
• http://yann.lecun.com/exdb/mnist/
• CelebA Face dataset
• http://mmlab.ie.cuhk.edu.hk/projects/CelebA.html
• Download "img_align_celeba" images
• Set "face_image_path" in train.py according to the path of downloaded dataset