Description

Question 1: 1D Data
(a) [10pt] Minimax GAN Objective
figures/q1a_epoch1.png figures/q1a_final.png
(a) Samples at epoch 1 (b) Final samples
figures/q1a_losses.png
(c) GAN loss curve
(b) [10pt] Nonsaturating Objective
figures/q1b_epoch1.png figures/q1b_final.png
(a) Samples at epoch 1 (b) Final samples
figures/q1b_losses.png
(c) GAN loss curve
Question 2: WGAN-GP on CIFAR-10 [35pt]
Final inception score: TODO
Final Fr´echet inception distance: TODO

(a) Samples
figures/q2_losses.png
(b) Training curve
Question 3: Representation Learning with BiGAN on MNIST [45 pt]
Final supervised test accuracy: TODO
Final unsupervised test accuracy: TODO

(a) Samples
figures/q3_gan_losses.png figures/q3_supervised_losses.png
(b) BiGAN train curve (c) Supervised learning curve

(d) Reconstructions
Bonus Questions (Optional)
1. [20pt] CycleGAN
figures/q4_mnist.png
(a) MNIST: original images, translations, and reconstructions
figures/q4_colored_mnist.png
(b) Colored MNIST: original images, translations,and reconstructions