I’m training a neural network to generate cookbook recipes. It looks at a bunch of recipes and has to figure out completely from scratch - no knowledge of what English words even are - how to start generating more recipes like them. It has to start by figuring out which words are used in recipes. Here in a very early iteration, you can see the first somewhat intelligible word beginning to condense out of the network:

4  caam pruce 6 1/2 Su ; cer 1 teaspoop sabter fraze er intve 1 lep wonuu s cap ter 3 tl spome. 2 teappoon terting peves, caare teatasing sad ond le heed an ted pabe un Mlse; blacoins d cut ond ma eroy phispuz bambed 1 . teas, &

It’s trying SO hard to spell teaspoon.  Teaspoop. It’s hilarious.  It gets it right every once in a while, apparently by sheer luck, but mostly it’s:  ceaspoong,  chappoon,  conspean, deespoon,  seaspooned,   ceaspoon,  tearpoon,  teasoon,  tertlespoon,  teatpoon,  teasposaslestoy,  ndospoon,  tuastoon,  tbappoon,  tabapoon,  spouns,  teappome,  Geaspoon, leappoon, teampoon, tubrespoon... It reeallly wants to learn to spell teaspoon. There are a lot of almost-teaspoons beginning with c... maybe it’s a mixture of teaspoon and cup.  There are a few others that might be a tablespoon attempt.