DCGAN MNIST 64x64

Implementation of Deep Convolutional Generative Adversarial Networks to generate realistic MNIST digits at 64x64 resolution in Tensorflow. After 40 epochs of training, you should get these results:

Usage

1. Launch jupyter notebook and browse to http://localhost:8888/
2. Open [DCGAN MNIST tutorial.ipynb](DCGAN MNIST tutorial.ipynb)
3. Run all to start training
4. Use Tensorboard to monitor the training: tensorboard --logdir YOUR_DIR and browse to http://localhost:6006/

Requisites

• Anaconda Python 3.5
• Tensorflow 0.12.0-rc1
• GPU for fast training (although CPU-only is supported)

References

• Generative Adversarial Networks
• Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
• Image Completion with Deep Learning in TensorFlow