[TensorFlow] Conditional Generative Adversarial Nets (CGAN)

TensorFlow implementation of Conditional Generative Adversarial Nets (CGAN) with MNIST dataset.

Architecture

Training algorithm

CGAN architecture

Graph in TensorBoard

Results

Training Procedure

Test Procedure

From random noise without conditions

z:2	z:64	z:128

From random noise with conditions

z:2	z:64	z:128

Latent space walking with conditions

Class-0 (z:2)	Class-1 (z:2)	Class-2 (z:2)	Class-3 (z:2)	Class-4 (z:2)

Class-5 (z:2)	Class-6 (z:2)	Class-7 (z:2)	Class-8 (z:2)	Class-9 (z:2)

Environment

Python 3.7.4
Tensorflow 1.14.0
Numpy 1.17.1
Matplotlib 3.1.1
Scikit Learn (sklearn) 0.21.3

Reference

[1] Mehdi Mirza and Simon Osindero. (2014). Conditional Generative Adversarial Nets. arXiv preprint arXiv:1411.1784.

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