handwritten-multi-digit-number-recognition
gan-vae-pretrained-pytorch
| handwritten-multi-digit-number-recognition | gan-vae-pretrained-pytorch | |
|---|---|---|
| 1 | 1 | |
| 21 | 162 | |
| - | - | |
| 0.0 | 0.0 | |
| over 2 years ago | over 2 years ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | - |
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handwritten-multi-digit-number-recognition
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I made a handwritten number recognizer
Github repo: https://github.com/kingyiusuen/handwritten-multi-digit-number-recognition
gan-vae-pretrained-pytorch
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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.
What are some alternatives?
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handwritten-digits-recognizer-webapp - This is my first experience with machine learning
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