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`):

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

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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