The original codes are derived from aymericdamien/TensorFlow-Examples, modifications and adjustments of the codes are made for easily understandable and more flexible.

aymericdamien/TensorFlow-Examples/notebooks/3_NeuralNetworks/gan.ipynb

aymericdamien/TensorFlow-Examples/notebooks/3_NeuralNetworks/dcgan.ipynb

GAN Generated Results:

DCGAN Generated Results:

DCGAN with Batch Normalization Generated Results:

Note: The trained models of GAN, DCGAN as well as DCGAN with Batch Normalization are available at the data/ckpt directory.

• Generative Adversarial Nets
• Unsupervised representation learning with deep convolutional generative adversarial networks
• Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
• Understanding the difficulty of training deep feedforward neural networks
• Generative Adversarial Networks Explained
• aymericdamien/TensorFlow-Examples/notebooks/3_NeuralNetworks/gan.ipynb
• aymericdamien/TensorFlow-Examples/notebooks/3_NeuralNetworks/dcgan.ipynb
• nlintz/TensorFlow-Tutorials
• nlintz/TensorFlow-Tutorials: 11_gan.py
• MNIST Dataset
• andy's blog: An Explanation of Xavier Initialization