Open Access Journal

ISSN : 2394-2320 (Online)

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

Open Access Journal

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

ISSN : 2394-2320 (Online)

Reference :

    1. Improved Techniques for Training GANs, Tim Salimans, Ian Goodfellow, Wojciech Zaremba, Vicki Cheung, Alec Radford, Xi Chen
    2. Chen, Xi, et al. ―Infogan: Interpretable representation learning by information maximizing generative adversarial nets.‖ Advances in Neural Information Processing Systems. 2016.
    3. I. Goodfellow, J. Pouget-Abadie, M. Mirza, B. Xu, D. Warde-Farley, S. Ozair, A. Courville, and Y. Bengio, ―Generative adversarial nets,‖ in NIPS, 2014, pp. 2672–2680
    4. D. P. Kingma, S. Mohamed, D. J. Rezende, and M. Welling, ―Semi-supervised learning with deep generative models,‖ in NIPS, 2014, pp. 3581–3589.
    5. Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks, Alec Radford, Luke Metz, Soumith Chintala
    6. InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets. Xi Chen, Yan Duan, Rein Houthooft, John Schulman, Ilya Sutskever, Pieter Abbeel.
    7. A Learning Algorithm for Boltzmann Machines, David H. Ackley Geoffrey E. Hinton, Terrence J. Sejnowski
    8. Conditional Generative Adversarial Nets,Mehdi Mirza, Simon Osindero

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