5 ms·

Artistic only. You'd need an exact verifier in case of engineering designs, and something built with neural networks is not one. To get a better understanding

• rryan 10y ago
  GANs are a general tool -- they just happen to get a lot of attention for generating images of stuff. Here's an example for generating sequences [1]. The example is language oriented, but ultimately GANs are interesting because you can use them to build a generator for an arbitrary data distribution. This can have many applications in engineering (to take a random example -- generating plausible looking chemical structures under a certain set of constraints). As with any ML application, you need to quantify your tolerance for "inaccuracy" (in a generative setting, how well the generated distribution matches the true data distribution). This is simply an engineering trade-off and will vary based on the application. [1] https://arxiv.org/abs/1609.05473 https://arxiv.org/abs/1609.05473