3 ms·
I understand your position, but it comes from a false assumption that this is just about images. This is a demo that uses images as a way to "wow" the audience.
by rmellow 10y ago
I understand your position, but it comes from a false assumption that this is just about images. This is a demo that uses images as a way to "wow" the audience.
However, the kind of network used here (GAN) can be used in domains other than images (text, financial data).
Imagine if you trained a network to generate fraudulent financial data and another to become an expert at catching fraud, each feeding back into the other's skill. This is the concept of GANs at heart and definitely disruptive if correctly executed.
- felippee 10y agoIt is not entirely obvious that such extrapolations would succeed. GAN is not a new idea (new in the context of deep learning) but automatic generation of adversarial samples is a known and exploited subject (even e.g. in the field of evolutionary strategies). So this is still the promise: look, it works on the images but there are all these wonderful applications possible. Its 2017 now, I'll check back in 2019 to see if anything has changed.