New D&D magic spells, designed by neural network

I’ve trained this open-source neural network framework on a variety of datasets, including recipes, Pokemon, knock-knock jokes, and pick up lines.

Here’s the latest: a list of 365 different spells you can cast in Dungeons and Dragons.

It’s a really small dataset, actually - so small that in almost no time at all, it learned to reproduce the original input data verbatim, in order. But by setting the “temperature” flag to a really high value (i.e. it has a higher chance of NOT going with its best guess for the next character in the phrase), I can at least induce spelling mistakes. Then the neural network has to try to recover from these, with often entertaining results.

I give you: D&D magic spells, designed by neural network

Moss Healing Word

Hold Mouse

Barking Sphere

Heat on Farm

True Steake

Finger of Enftebtemang

Fomend’s Beating Sphere

Purping Lightsin

Farming

Wrathful Hound

Q’s Invisibility

Cow of Auraly

Mind Blark

Stone Share

Puijune Magic Furs

Grove of Plants

Conjure Velemert

Vicious Markers

End Wall

Mous of Farts

Cursing

Gland Growth

Part 2: http://lewisandquark.tumblr.com/post/165373096197/a-neural-network-learns-to-create-better-dd

I’m collecting D&D character names for a future project. If you go to this form (no email required), you can enter your character’s name, race, and class. Once I have enough of these, I’ll give them to the neural network and see what happens. Edit: wow, over 3500 responses so far! (Check them out at this link) Keep them coming!

NEW POLL! Neural networks want to hear your character’s backstory! Submit as many as you like. https://goo.gl/forms/ReInNw0Tz0mwzTLO2