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Notebook for O'Reilly's "Deep Convolutional Generative Adversarial Networks"

Home Page: https://www.oreilly.com/ideas/deep-convolutional-generative-adversarial-networks-with-tensorflow

Jupyter Notebook 99.62% Python 0.38%
deep-learning deep-learning-algorithms deep-learning-tutorial docker face-generation generative-adversarial-network notebook oreilly tensorflow

dcgan-oreilly's Issues

final code block runs, no output?

Hiya,

Really appreciate this notebook. I've got a folder of resized images, 64 x 64, that I'm trying to feed through this. Everything seems to go well, final block runs, but then finishes, without output. I suspect maybe this is a function of my original input images somehow?

I got an error when I try to run The CelebA Dataset part.

I have this error when I try to run the CelebA Dataset part: "ValueError: zero-size array to reduction operation minimum which has no identity". It is exactly in "...\numpy\core_methods.py", line 32, in _amin return umr_minimum(a, axis, None, out, keepdims, initial)".

How do I change output shape?

I'm very new to tensorflow and I somehow run this model but how do I change the output shape 28x28 to a bigger value?

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