GAN训练的数据类型

回答: GAN 可以用于生成各类数据，如图像、音频、文本等。在图像生成方面，GAN 用于生成无限多张与训练数据相似却并不存在于训练数据中的图像。\[1\]因此，GAN训练的数据类型可以是图像、音频或文本等。
#### 引用[.reference_title]
- *1* [GAN简单介绍—使用PyTorch框架搭建GAN对MNIST数据集进行训练](https://blog.csdn.net/qq_36693723/article/details/130332573)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v91^insert_down28v1,239^v3^insert_chatgpt"}} ] [.reference_item]
- *2* [GAN--提升GAN训练的技巧汇总](https://blog.csdn.net/qq_42722197/article/details/122725967)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v91^insert_down28v1,239^v3^insert_chatgpt"}} ] [.reference_item]
- *3* [使用StyleGAN训练自己的数据集.md](https://blog.csdn.net/weixin_39715538/article/details/111506417)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v91^insert_down28v1,239^v3^insert_chatgpt"}} ] [.reference_item]
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