Recurrent Net Dreams Up Fake Chinese Characters Experiment by hardmaru uses neural network analysis to generate completely new…
Recurrent Net Dreams Up Fake Chinese Characters
Experiment by hardmaru uses neural network analysis to generate completely new Kanji characters:
… I think a more interesting task is to generate data, which I view as an extension to classifying data. Like how being able to write a Chinese character demonstrate more understanding than merely knowing how to read that character, I think being able to generate content is also key to understanding that content. Being able generate a picture of a 22 year old attractive lady is much more impressive than merely being able to estimate that the this woman is likely around 22 years of age.
An example of a generative task is the translation machines developed to translate English into another language in real time. Generative art and music has been increasingly popular. Recently, there has been work on using techniques such as generative adversarial networks (GANs) to generate bitmap pictures of fake images that look like real ones, like fake cats, fake faces, fake bedrooms and even fake anime characters, and to me, those problems are a lot more exciting to work on, and a natural extension to classification problems.