Advanced Deep Learning with Keras: Apply deep learning techniques, autoencoders, GANs, variational autoencoders, deep reinforcement learning, policy gradients, and more by Rowel Atienza

Author:Rowel Atienza [Atienza, Rowel]
Language: eng
Format: epub, pdf
Publisher: Packt Publishing
Published: 2018-10-31T05:00:00+00:00

References

Ian Goodfellow and others. Generative Adversarial Nets. Advances in neural information processing systems, 2014(http://papers.nips.cc/paper/5423-generative-adversarial-nets.pdf).

Martin Arjovsky, Soumith Chintala, and Léon Bottou, Wasserstein GAN. arXiv preprint, 2017(https://arxiv.org/pdf/1701.07875.pdf).

Xudong Mao and others. Least Squares Generative Adversarial Networks. 2017 IEEE International Conference on Computer Vision (ICCV). IEEE 2017(http://openaccess.thecvf.com/content_ICCV_2017/papers/Mao_Least_Squares_Generative_ICCV_2017_paper.pdf).

Augustus Odena, Christopher Olah, and Jonathon Shlens. Conditional Image Synthesis with Auxiliary Classifier GANs. ICML, 2017(http://proceedings.mlr.press/v70/odena17a/odena17a.pdf).

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