AI Weirdness: the strange side of machine learning

Tag: neural network

Total 8 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 [http://t.umblr.com/redirect?z=https%3A%2F%2Fgithub.com%2Fkarpathy%2Fchar-rnn&t=ZTNhNTMxMDJmZjFkMDJiMjI1MDZmZjk2ZGUyN2MxZjhiNTk2MWFjMCw0T1VwUVFXVQ%3D%3D] , using it to generate everything from cookbook recipes [http://lewisandquark.tumblr.com/tagged/recipes]
Cooking with Cthulhu

Cooking with Cthulhu

Here’s what you get when you give incomplete cookbook recipes to a neural network trained on the complete works of H. P. Lovecraft: > Bake at 350 degrees for 30 to 32 minutes. Test corners to see if done, as center will seem like the next horror of Second
The neural network doesn’t understand proper nouns.

The neural network doesn’t understand proper nouns.

As the neural network begins to get better at generating cookbook recipes [http://lewisandquark.tumblr.com/post/140219420017/the-silicon-gourmet-training-a-neural-network-to] , it continues to have trouble with recipe sources - short and highly varied, they’re a challenge for an algorithm that learns by repetition. Still, it does its best: Source: Carrots
Disturbingly vague ingredients generated by neural network

Disturbingly vague ingredients generated by neural network

This neural network, a learning algorithm trained on 30MB of cookbook recipes [http://lewisandquark.tumblr.com/post/140219420017/the-silicon-gourmet-training-a-neural-network-to] , generates new recipes based on probabilities. The resulting ingredients, while their words are individually probable, can end up disturbingly vague. “Yeah… I’m pretty sure this recipe’s gonna contain some…
The neural network invents fancy new ingredients

The neural network invents fancy new ingredients

I’m training a neural network to generate recipes [http://lewisandquark.tumblr.com/post/140219420017/the-silicon-gourmet-training-a-neural-network-to] 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
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. [http://www.superherodb.com/characters/] 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
The neural network has bad ingredient ideas

The neural network has bad ingredient ideas

I’m training a neural network to generate recipes [http://lewisandquark.tumblr.com/post/140219420017/the-silicon-gourmet-training-a-neural-network-to] 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:
The neural network gives bad cooking advice

The neural network gives bad cooking advice

I’ve trained the neural network on about 30MB of cookbook recipes [http://lewisandquark.tumblr.com/post/140219420017/the-silicon-gourmet-training-a-neural-network-to] , but its cooking advice still doesn’t seem that great. I’m not sure I should do or add any of these things. > 1 cup cherry seeds 42 cup milk
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