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training your own gan
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Guangyuan Li authored and Guangyuan Li committed Mar 19, 2021
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2 changes: 1 addition & 1 deletion README.md
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Expand Up @@ -9,7 +9,7 @@ The repository for building the DeepImmuno web server: https://github.com/frankl

- Please refer to [DeepImmuno-GAN](#deepimmuno-gan) if you want to generate immunogenic peptide

- Please refer to [Train your own GAN]() if you want to generate peptides with customized features/properties.
- Please refer to [Train your own GAN](https://github.com/frankligy/DeepImmuno/tree/main/extension) if you want to generate peptides with customized features/properties.

Enjoy and don't hesitate to ask me questions (contact at the bottom), I will be responsive! Feel free to raise an issue on github page!

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2 changes: 1 addition & 1 deletion extension/README.md
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Expand Up @@ -41,7 +41,7 @@ The examples can be found in `./gan_result` folder

- In addtion to the basic dependencies shown in main [README.md](https://github.com/frankligy/DeepImmuno) file, you probably need `matplotlib` as well to draw the diagnostic plots.

- We hard-coded the `batch_size=64`, so we hope your training data is at least more than 64 instances. Having said that, you can change this setting at your will.
- We hard-coded the `batch_size=64`, so we hope your training data is at least more than 64 instances. Having said that, [you can change this setting at your will](https://github.com/frankligy/DeepImmuno/blob/main/extension/deepimmuno-gan-train.py/#L390).

- we advise to set the `epoch` as 100 or more to assure a good training performance.

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