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Generating faces of cats using Generative Adversarial Networks

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Re: Generating faces of cats using Generative Adversarial Networks

#6
post #5

With this kind of task, how do you verify that you didn't just overfit and start reproducing the input data?

She's generating it from noise: https://github.com/AlexiaJM/Deep-learning-with-cats/blob/mas...

Also, you could verify by writing unit tests with OpenCV to look for similar sources. Since it's all headshots, it will find matches for sure, but it would also find with human faces.

Re: Generating faces of cats using Generative Adversarial Networks

#7
post #5

With this kind of task, how do you verify that you didn't just overfit and start reproducing the input data?

She's generating it from noise: https://github.com/AlexiaJM/Deep-learning-with-cats/blob/mas... Also, you could verify by writing unit tests with OpenCV to look for similar sources. Since it's all headshots, it will find matches for sure, but it would also find with human faces.

The neural network is starting from noise, but that's not the only input, it was trained on [0] and I think it's arguable that the NN is "reproducing" the images from its training dataset in some sense.

[0] https://web.archive.org/web/20150703060412/http://137.189.35...

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