| Z Distritubtion |
| = Uniform(range = 8) |
| Data Distribution |
| = N(-3,1) |
 |
| Z Distritubtion | Z Distritubtion | Z Distritubtion |
| = Uniform(range = 8) | = Uniform(range = 8) | = Uniform(range = 8) |
| Data Distribution | Data Distribution | Data Distribution |
| = N(0,1) | = N(0,2) | = N(0,0.5) |
 |
 |
 |
- epoch : 1000, batch size : 8, learning rate : 0.01
- https://github.com/hwalsuklee/tensorflow-GAN-1d-gaussian-ex
- https://github.com/togheppi/vanilla_GAN
- https://github.com/yunjey/pytorch-tutorial/tree/master/tutorials/01-basics/feedforward_neural_network
| Generated image | Loss Graph |
 |
 |
- epoch : 100, batch size : 25, learning rate : 0.0002 with dropout
| Generated image | Loss Graph |
 |
 |
- epoch : 100, batch size : 25, learning rate : 0.0002 with batch normalization
- https://github.com/znxlwm/pytorch-MNIST-CelebA-GAN-DCGAN
- https://github.com/togheppi/DCGAN
- https://github.com/wiseodd/generative-models/tree/master/GAN/vanilla_gan
| Generated image | Loss Graph |
 |
 |
- epoch : 8, batch size : 25, learning rate : 0.0002 ,activation fuction : ReLU For both (generator, discriminator) net , output activation fuction : Sigmoid
| Generated image | Loss Graph |
 |
 |
| Generated image(cropped) | Loss Graph |
 |
 |
| Epoch 20 | Epoch 40 | Epoch 60 | Epoch 80 | Epoch 100 |
 |
 |
 |
 |
 |
- epoch : 60, batch size : 25, learning rate : 0.0002 ,activation fuction : ReLU For both (generator, discriminator) net , output activation fuction : Sigmoid
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