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fix broken link (#471)
* update out-dated link * Update dcgan_faces_tutorial.py * Update dcgan_faces_tutorial.py
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beginner_source/dcgan_faces_tutorial.py

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# ----
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#
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# In this tutorial we will use the `Celeb-A Faces
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# dataset <https://mmlab.ie.cuhk.edu.hk/projects/CelebA.html>`__ which can
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# dataset <http://mmlab.ie.cuhk.edu.hk/projects/CelebA.html>`__ which can
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# be downloaded at the linked site, or in `Google
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# Drive <https://drive.google.com/drive/folders/0B7EVK8r0v71pTUZsaXdaSnZBZzg>`__.
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# The dataset will download as a file named *img_align_celeba.zip*. Once
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#
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# From the DCGAN paper, the authors specify that all model weights shall
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# be randomly initialized from a Normal distribution with mean=0,
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# stdev=0.2. The ``weights_init`` function takes an initialized model as
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# stdev=0.02. The ``weights_init`` function takes an initialized model as
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# input and reinitializes all convolutional, convolutional-transpose, and
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# batch normalization layers to meet this criteria. This function is
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# applied to the models immediately after initialization.

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