I'm a graphic designer and have to look at fonts (and match them) all the time, so while this looked off to me at first glance I can't really speak for the average person. This would *probably* be a bit of an over-engineered way to do it, but it could make for a fun weekend project. And then go through your normal scheme of perturbing where they end up getting located on the page. Then train the GAN using that dataset.Īnd then, now that you have the trained GAN, use it to generate handwritten characters on the fly. So, you'd have a bunch of examples of "A", "a", "B", "b", etc. The easiest way would be to just make a bunch of different examples of your handwriting with different characters (or if you wanted to be fancy, chunks of characters) written multiple times. As time goes on, the fake-detector gets better at finding fakes, and the fake-generator must get better at generating fakes to fool it, and vice versa. The approach boils down to training two networks in tandem: a fake-detector, and a fake-generator. The classic example is training one to create fake artwork from a famous artist. This is somewhere a GAN might be helpful (there's tons of tutorials out there for Keras).Ī GAN is a neural network architecture that predicts members of a specific class. Introduction to Programming with Python (from Microsoft Virtual Academy)./r/git and /r/mercurial - don't forget to put your code in a repo!./r/pyladies (women developers who love python)./r/coolgithubprojects (filtered on Python projects)./r/pystats (python in statistical analysis and machine learning)./r/inventwithpython (for the books written by /u/AlSweigart)./r/pygame (a set of modules designed for writing games)./r/django (web framework for perfectionists with deadlines)./r/pythoncoding (strict moderation policy for 'programming only' articles).
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |