AI Weirdness: the strange side of machine learning

Tag: torch

Total 10 Posts

Pokemon generated by neural network

I’ve been playing around with char-rnn, an open-source torch add-on for character-based neural networks by Andrej Karpathy, using it to generate everything from cookbook recipes to superhero names to a Lovecraft/cookbook mashup. I decided to train the neural network to randomly generate Pokemon names and abilities based on
The neural network invents fancy new ingredients

The neural network invents fancy new ingredients

I’m training a neural network to generate recipes based on a database of about 30,000 examples, and although it sometimes comes up with ingredients that sound like a bad idea, sometimes it invents some that you could plausibly ask for at Whole Foods and act all disappointed when
Superheroes designed by neural network

Superheroes designed by neural network

I trained the neural network to generate superhero names, based on the list from this site. I thought the database was going to be way too small, but the network proved me wrong. Speet Stank Red Fart Mister Man Rad Food Sapgirl Woop Ann Man Boomss Boark II Supperman Superbore
The neural network has bad ingredient ideas

The neural network has bad ingredient ideas

I’m training a neural network to generate recipes based on a database of about 30,000 examples, and one great (not great?) thing about it is it comes up with new ingredients that I’m pretty sure aren’t in the list: 1 ½ teaspoon chicken brown water 1 teaspoon
The neural network doesn’t understand ingredients

The neural network doesn’t understand ingredients

As the neural network learns to generate recipes, it’s very clear from the ingredients it produces that it has no clue what these words actually mean, or whether the substances involved are powders, liquids, solids, etc. It just knows that certain kinds of words tend to go after other
The neural network doesn’t understand pepper.

The neural network doesn’t understand pepper.

As the neural network tries to learn to generate recipes by looking at a 30MB cookbook, there are certain ingredients it has to learn to deal with. One of the most confusing for the network is pepper. In retrospect, that makes some sense - it’s looking at example recipes
What is teaspoons?

What is teaspoons?

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
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