Playing with fonts using neural networks

Posted to Statistics  |  Tags: ,  |  Nathan Yau

Erik Bernhardsson downloaded 50,000 fonts and then threw them to the neural networks to see what sort of letters a model might come up with.

These are all characters drawn from the test set, so the network hasn’t seen any of them during training. All we’re telling the network is (a) what font it is (b) what character it is. The model has seen other characters of the same font during training, so what it does is to infer from those training examples to the unseen test examples.

I especially like the part where you can see a spectrum of generated fonts through varying parameters.

Favorites

Unemployment in America, Mapped Over Time

Watch the regional changes across the country from 1990 to 2016.

Jobs Charted by State and Salary

Jobs and pay can vary a lot depending on where you live, based on 2013 data from the Bureau of Labor Statistics. Here’s an interactive to look.

Interactive: When Do Americans Leave For Work?

We don’t all start our work days at the same time, despite what morning rush hour might have you think.

Where Bars Outnumber Grocery Stores

A closer look at the age old question of where there are more bars than grocery stores, and vice versa.