Keras-GAN-master

所属分类人工智能/神经网络/深度学习
开发工具:Python
文件大小:85KB
下载次数:1
上传日期:2019-05-18 13:39:43
上 传 者pengcubic
说明:  用Keras来实现不同的GAN算法,数据集主要基于minst手写体数据
(different GANs with Keras, the main dataset is minst.)

文件列表:[举报垃圾]
Keras-GAN-master, 0 , 2019-04-02
Keras-GAN-master\.gitignore, 99 , 2019-04-02
Keras-GAN-master\LICENSE, 1075 , 2019-04-02
Keras-GAN-master\README.md, 8672 , 2019-04-02
Keras-GAN-master\aae, 0 , 2019-04-02
Keras-GAN-master\aae\aae.py, 6548 , 2019-04-02
Keras-GAN-master\aae\images, 0 , 2019-04-02
Keras-GAN-master\aae\images\.gitignore, 13 , 2019-04-02
Keras-GAN-master\aae\saved_model, 0 , 2019-04-02
Keras-GAN-master\aae\saved_model\.gitignore, 13 , 2019-04-02
Keras-GAN-master\acgan, 0 , 2019-04-02
Keras-GAN-master\acgan\acgan.py, 7901 , 2019-04-02
Keras-GAN-master\acgan\images, 0 , 2019-04-02
Keras-GAN-master\acgan\images\.gitignore, 13 , 2019-04-02
Keras-GAN-master\acgan\saved_model, 0 , 2019-04-02
Keras-GAN-master\acgan\saved_model\.gitignore, 13 , 2019-04-02
Keras-GAN-master\assets, 0 , 2019-04-02
Keras-GAN-master\assets\keras_gan.png, 10276 , 2019-04-02
Keras-GAN-master\bgan, 0 , 2019-04-02
Keras-GAN-master\bgan\bgan.py, 5406 , 2019-04-02
Keras-GAN-master\bgan\images, 0 , 2019-04-02
Keras-GAN-master\bgan\images\.gitignore, 13 , 2019-04-02
Keras-GAN-master\bgan\saved_model, 0 , 2019-04-02
Keras-GAN-master\bgan\saved_model\.gitignore, 13 , 2019-04-02
Keras-GAN-master\bigan, 0 , 2019-04-02
Keras-GAN-master\bigan\bigan.py, 6374 , 2019-04-02
Keras-GAN-master\bigan\images, 0 , 2019-04-02
Keras-GAN-master\bigan\images\.gitignore, 13 , 2019-04-02
Keras-GAN-master\bigan\saved_model, 0 , 2019-04-02
Keras-GAN-master\bigan\saved_model\.gitignore, 13 , 2019-04-02
Keras-GAN-master\ccgan, 0 , 2019-04-02
Keras-GAN-master\ccgan\ccgan.py, 9041 , 2019-04-02
Keras-GAN-master\ccgan\images, 0 , 2019-04-02
Keras-GAN-master\ccgan\images\.gitignore, 13 , 2019-04-02
Keras-GAN-master\ccgan\saved_model, 0 , 2019-04-02
Keras-GAN-master\ccgan\saved_model\.gitignore, 13 , 2019-04-02
Keras-GAN-master\cgan, 0 , 2019-04-02
Keras-GAN-master\cgan\cgan.py, 6521 , 2019-04-02
Keras-GAN-master\cgan\images, 0 , 2019-04-02
Keras-GAN-master\cgan\images\.gitignore, 13 , 2019-04-02
Keras-GAN-master\cgan\saved_model, 0 , 2019-04-02
Keras-GAN-master\cgan\saved_model\.gitignore, 13 , 2019-04-02
Keras-GAN-master\cogan, 0 , 2019-04-02
Keras-GAN-master\cogan\cogan.py, 6686 , 2019-04-02
Keras-GAN-master\cogan\images, 0 , 2019-04-02
Keras-GAN-master\cogan\images\.gitignore, 13 , 2019-04-02
Keras-GAN-master\cogan\saved_model, 0 , 2019-04-02
Keras-GAN-master\cogan\saved_model\.gitignore, 13 , 2019-04-02
Keras-GAN-master\context_encoder, 0 , 2019-04-02
Keras-GAN-master\context_encoder\context_encoder.py, 8762 , 2019-04-02
Keras-GAN-master\context_encoder\images, 0 , 2019-04-02
Keras-GAN-master\context_encoder\images\.gitignore, 13 , 2019-04-02
Keras-GAN-master\context_encoder\saved_model, 0 , 2019-04-02
Keras-GAN-master\context_encoder\saved_model\.gitignore, 13 , 2019-04-02
Keras-GAN-master\cyclegan, 0 , 2019-04-02
Keras-GAN-master\cyclegan\cyclegan.py, 10119 , 2019-04-02
Keras-GAN-master\cyclegan\data_loader.py, 2723 , 2019-04-02
Keras-GAN-master\cyclegan\download_dataset.sh, 824 , 2019-04-02
Keras-GAN-master\cyclegan\images, 0 , 2019-04-02
Keras-GAN-master\cyclegan\images\.gitignore, 13 , 2019-04-02
Keras-GAN-master\cyclegan\saved_model, 0 , 2019-04-02
Keras-GAN-master\cyclegan\saved_model\.gitignore, 13 , 2019-04-02
Keras-GAN-master\dcgan, 0 , 2019-04-02
Keras-GAN-master\dcgan\dcgan.py, 5958 , 2019-04-02
Keras-GAN-master\dcgan\images, 0 , 2019-04-02
Keras-GAN-master\dcgan\images\.gitignore, 13 , 2019-04-02
Keras-GAN-master\dcgan\saved_model, 0 , 2019-04-02
Keras-GAN-master\dcgan\saved_model\.gitignore, 13 , 2019-04-02
Keras-GAN-master\discogan, 0 , 2019-04-02
Keras-GAN-master\discogan\data_loader.py, 2538 , 2019-04-02
Keras-GAN-master\discogan\discogan.py, 9242 , 2019-04-02
Keras-GAN-master\discogan\download_dataset.sh, 263 , 2019-04-02
Keras-GAN-master\discogan\images, 0 , 2019-04-02
Keras-GAN-master\discogan\images\.gitignore, 13 , 2019-04-02
Keras-GAN-master\discogan\saved_model, 0 , 2019-04-02
Keras-GAN-master\discogan\saved_model\.gitignore, 13 , 2019-04-02
Keras-GAN-master\dualgan, 0 , 2019-04-02
Keras-GAN-master\dualgan\dualgan.py, 7579 , 2019-04-02
Keras-GAN-master\dualgan\images, 0 , 2019-04-02
Keras-GAN-master\dualgan\images\.gitignore, 13 , 2019-04-02
Keras-GAN-master\dualgan\saved_model, 0 , 2019-04-02
Keras-GAN-master\dualgan\saved_model\.gitignore, 13 , 2019-04-02
Keras-GAN-master\gan, 0 , 2019-04-02
Keras-GAN-master\gan\gan.py, 5203 , 2019-04-02
Keras-GAN-master\gan\images, 0 , 2019-04-02
Keras-GAN-master\gan\images\.gitignore, 13 , 2019-04-02
Keras-GAN-master\gan\saved_model, 0 , 2019-04-02
Keras-GAN-master\gan\saved_model\.gitignore, 13 , 2019-04-02
Keras-GAN-master\infogan, 0 , 2019-04-02
Keras-GAN-master\infogan\images, 0 , 2019-04-02
Keras-GAN-master\infogan\images\.gitignore, 13 , 2019-04-02
Keras-GAN-master\infogan\infogan.py, 8640 , 2019-04-02
Keras-GAN-master\infogan\saved_model, 0 , 2019-04-02
Keras-GAN-master\infogan\saved_model\.gitignore, 13 , 2019-04-02
Keras-GAN-master\lsgan, 0 , 2019-04-02
Keras-GAN-master\lsgan\images, 0 , 2019-04-02
Keras-GAN-master\lsgan\images\.gitignore, 13 , 2019-04-02
Keras-GAN-master\lsgan\lsgan.py, 5139 , 2019-04-02
Keras-GAN-master\lsgan\saved_model, 0 , 2019-04-02
Keras-GAN-master\lsgan\saved_model\.gitignore, 13 , 2019-04-02

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