znxlwm/pytorch-MNIST-CelebA-GAN-DCGAN
Pytorch implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Networks (DCGAN) for MNIST and CelebA datasets
Python
Issues
- 4
Why the loss of D quickly go down to zero?
#12 opened by Lycheezx - 0
Training does not show
#13 opened by Greenlili - 2
请问,这两个损失值可以分开反向传播吗
#11 opened by lijiajun3029 - 1
The imshow of celebA project
#9 opened by RongKaiWeskerMA - 1
RuntimeError: output with shape [1, 28, 28] doesn't match the broadcast shape [3, 28, 28]
#10 opened by bignightcat - 0
Iscrop
#8 opened by kingofkill - 1
- 0
crop
#7 opened by duanzhibin - 0
Python 3.5 & Pytorch 0.4 support
#5 opened by py-ranoid - 1
How to draw the pretty figure?
#4 opened by dragen1860 - 0
About CelebA Identity List
#2 opened by timho102003 - 2
The MNIST_DCGAN learning is too slow
#1 opened by milk-bottle-liyu