This project forked from ss-is-master-chief/infogan-keras
Implementing the InfoGAN architecture in Keras for learning about disentangled representation of salient features of input images in a completely unsupervised manner.
Paper: arXiv:1606.03657 by Xi Chen, Yan Duan, Rein Houthooft, John Schulman, Ilya Sutskever, Pieter Abbeel
Implementing the InfoGAN architecture in Keras for learning about detangled representation of salient features of the MNIST Hand Recognition Dataset in a completely unsupervised manner. The model was trained over 4000 epochs.
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