Conditional-Generative-Adversarial-Networks

The repository contains example code for conditional Generative Adversarial Model written in theno and Lasagne. The code follows the paper https://arxiv.org/abs/1411.1784 but with a different deep architecture.

Very basic MLP architecture is used for both the discriminator and the generator as well

Sample generated image from the experiment

Execution

Just download mnist.npz file and type python Conditional_GAN.py.

Digit creation

You can chose your own digit by changing the 'Digit_Generate' at line 74