AI Weirdness: the strange side of machine learning

Tag: char-rnn

Total 100 Posts
The neural network invents fruit names that may not catch on.

The neural network invents fruit names that may not catch on.

I’ve been training a neural network (based on this open-source neural network framework from Andrej Karpathy [http://t.umblr.com/redirect?z=https%3A%2F%2Fgithub.com%2Fkarpathy%2Fchar-rnn&t=NDVkOGIwZmQ4NzM1ZjIxMTcwOGFhN2RjZjBlZjYyMjgzN2M5MzJmYyx2Q0pORUpRbQ%3D%3D&b=t%3AIinBpZOgiMHH_bphj7hrOQ&p=http%3A%2F%2Flewisandquark.tumblr.com%2Fpost%2F159062141927%

In Which the neural network gets bored halfway through making cookies

I’ve been training a neural network (based on this open-source neural network framework from Andrej Karpathy [http://t.umblr.com/redirect?z=https%3A%2F%2Fgithub.com%2Fkarpathy%2Fchar-rnn&t=NDVkOGIwZmQ4NzM1ZjIxMTcwOGFhN2RjZjBlZjYyMjgzN2M5MzJmYyx2Q0pORUpRbQ%3D%3D&b=t%3AIinBpZOgiMHH_bphj7hrOQ&p=http%3A%2F%2Flewisandquark.tumblr.com%2Fpost%2F159062141927%
In Which a Neural Network Learns to Tell Knock-Knock Jokes

In Which a Neural Network Learns to Tell Knock-Knock Jokes

The neural network [http://t.umblr.com/redirect?z=https%3A%2F%2Fgithub.com%2Fkarpathy%2Fchar-rnn&t=YTE5MjZhYmIzNTQwODIwOGQwNjE1MzY4ZDBkOWY2YTdhNjRhNGJlYSx3dEtLQjlwOQ%3D%3D&b=t%3AIinBpZOgiMHH_bphj7hrOQ&p=http%3A%2F%2Flewisandquark.tumblr.com%2Fpost%2F159117179212%2Fthe-neural-network-generated-pickup-lines-that-are&m=1] can be trained to write recipes [http://lewisandquark.tumblr.com/
Delicious recipe titles generated by neural network

Delicious recipe titles generated by neural network

I’ve been training a neural network (based on this open-source neural network framework from Andrej Karpathy [http://t.umblr.com/redirect?z=https%3A%2F%2Fgithub.com%2Fkarpathy%2Fchar-rnn&t=NDVkOGIwZmQ4NzM1ZjIxMTcwOGFhN2RjZjBlZjYyMjgzN2M5MzJmYyx2Q0pORUpRbQ%3D%3D&b=t%3AIinBpZOgiMHH_bphj7hrOQ&p=http%3A%2F%2Flewisandquark.tumblr.com%2Fpost%2F159062141927%
Irish Tune names, invented by neural network

Irish Tune names, invented by neural network

So I play traditional Irish music (flute) and one thing about Irish music is that the tunes all have a distinctive kind of name. It’s hard to define what makes a tune name sound Irish, only that “Boil that Cabbage Down” doesn’t sound Irish, whereas “Whip the Mustard”
Three bad recipes generated by neural network

Three bad recipes generated by neural network

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 the network has managed to produce identifiable recipes, and even sometimes sort sweet from savory, it hasn’t actually managed to produce any
Cthulhu in the Kitchen

Cthulhu in the Kitchen

In a previous experiment [http://lewisandquark.tumblr.com/post/141313469232/cooking-with-cthulhu], I let a neural network trained on the complete works of H. P. Lovecraft finish phrases from cookbook recipes. Now, I tried it the other way around, in which I gave phrases from Lovecraftian horror to an innocent neural

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
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