carpedm20 / carpedm20/DCGAN-tensorflow

generate specified picture not successful

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Description

I want to generate some picture with specified feature ,like `wear hat`,`big nose`(these are within labels in `celaba` data), so i changed the code. The code now processes like multi-classes task,though it runs successfully and get some result,the result seems bad. Like below(try to generate pictures with `wear hat`):

![test_arange_99](https://cloud.githubusercontent.com/assets/5716282/22005248/8e5f3f94-dc9c-11e6-8c28-c158df555ea5.png)

As you can see,some blurred features appear.But the program cannot step further,cause the loss function of discriminator goes zero in very early while generator stay almost unchanged

![qq 20170117100905](https://cloud.githubusercontent.com/assets/5716282/22005348/5d9a6806-dc9d-11e6-93dc-830c82928dbc.png)

the above output comes from my program training stage,with 80000 pictures cropped from `celea`, 200 epoches later(the pictures shows from 0 epoches,which just for show) .How could i modify the code to generate picture with specified feature ? redefining the loss function?

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