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advanced-deep-learning-with-keras's Introduction

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Chapter 3 - AutoEncoders

Sample outputs for random digits:

Random Digits

Sample outputs for random cifar10 images:

Random Digits

Chapter 4 - Generative Adversarial Network (GAN)

Radford, Alec, Luke Metz, and Soumith Chintala. "Unsupervised representation learning with deep convolutional generative adversarial networks." arXiv preprint arXiv:1511.06434 (2015).

Sample outputs for random digits:

Random Digits

Mirza, Mehdi, and Simon Osindero. "Conditional generative adversarial nets." arXiv preprint arXiv:1411.1784 (2014).

Sample outputs for digits 0 to 9:

Zero to Nine

Chapter 5 - Improved GAN

Arjovsky, Martin, Soumith Chintala, and LΓ©on Bottou. "Wasserstein GAN." arXiv preprint arXiv:1701.07875 (2017).

Sample outputs for random digits:

Random Digits

Mao, Xudong, et al. "Least squares generative adversarial networks." 2017 IEEE International Conference on Computer Vision (ICCV). IEEE, 2017.

Sample outputs for random digits:

Random Digits

Odena, Augustus, Christopher Olah, and Jonathon Shlens. "Conditional image synthesis with auxiliary classifier GANs. Proceedings of the 34th International Conference on Machine Learning, Sydney, Australia, PMLR 70, 2017."

Sample outputs for digits 0 to 9:

Zero to Nine

Chapter 6 - GAN with Disentangled Latent Representations

Chen, Xi, et al. "Infogan: Interpretable representation learning by information maximizing generative adversarial nets." Advances in Neural Information Processing Systems. 2016.

Sample outputs for digits 0 to 9:

Zero to Nine

Huang, Xun, et al. "Stacked generative adversarial networks." IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Vol. 2. 2017

Sample outputs for digits 0 to 9:

Zero to Nine

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