- gan-vae-pretrained-pytorch VS AvatarGAN
- gan-vae-pretrained-pytorch VS pytorch-GAT
- gan-vae-pretrained-pytorch VS AnimeGAN
- gan-vae-pretrained-pytorch VS AI-For-Beginners
- gan-vae-pretrained-pytorch VS Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning
- gan-vae-pretrained-pytorch VS dnn_from_scratch
- gan-vae-pretrained-pytorch VS JoJoGAN
- gan-vae-pretrained-pytorch VS pytorch-image-classification
- gan-vae-pretrained-pytorch VS RefinementGAN
- gan-vae-pretrained-pytorch VS GFPGAN-for-Video-SR
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gan-vae-pretrained-pytorch reviews and mentions
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DCGAN (CIFAR-10) Generating fake images is easy, but how to also output the class label (1 to 10) with the fake generated images?
I have this DCGAN model (https://github.com/csinva/gan-vae-pretrained-pytorch/tree/master/cifar10_dcgan) which generates fake Cifar-10 images. However I also want to get the intended class label output with the fake generated images. How can I do this? This model which I found only generates fake images but doesn't know what class the generated images belong to.
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The primary programming language of gan-vae-pretrained-pytorch is Jupyter Notebook.
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