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RuntimeError: cuda runtime error (100) : no CUDA-capable device is detected at /pytorch/aten/src/THC/THCGeneral.cpp:50
When I run train_lapgan.py in colaboratory,there is always the error.
If you kn…
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I tried running this code. I am not able to train. This is the error I am receiving---
WARNING:root:Pytorch Functional was renamed to Pytorch Symbolic!
WARNING:root:Please import pytorch_symbolic …
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# Abstract
Generative Adversarial Networks(GAN)은 데이터 생성에서 뛰어난 모습을 보이고 있다. 많은 영역에서 쓰이고 있지만 여전히 안정적인 학습에는 어려움이 따른다. 문제점으로는 Nash-equilibrium, internal covariate shift, mode collapse, vanishing gradient,…
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### 論文へのリンク
[[arXiv:1906.01529] Generative Adversarial Networks in Computer Vision: A Survey and Taxonomy](https://arxiv.org/abs/1906.01529)
### 著者・所属機関
Zhengwei Wang, Qi She, Tomas E. Ward
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Sik-Ho Tsang. [Review — BiGAN: Adversarial Feature Learning (GAN)](https://medium.com/nerd-for-tech/review-bigan-adversarial-feature-learning-gan-535eb76be2ca).
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Sik-Ho Tsang. [Review — ALI: Adversarially Learned Inference (GAN)](https://sh-tsang.medium.com/review-ali-adversarially-learned-inference-gan-6e4677667914).
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Sik-Ho Tsang. [Review: DCGAN — Deep Convolutional Generative Adversarial Network (GAN)](https://sh-tsang.medium.com/review-dcgan-deep-convolutional-generative-adversarial-network-gan-ec390cded63c).
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Hi ,
I just read the paper and your code , and I find "y_dim" in your model.py function of generator , Is that the label for vector z?
and just like "LAPGAN" , the y_dim is just like conditioning va…
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Hello,
Is it possible to use this architecture to generate HD images?
The default settings give you low-definition squared images. Did someone try with rectangular HD pics?
What I basically wou…