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 [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]
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
The neural network doesn’t understand ingredients

The neural network doesn’t understand ingredients

As the neural network learns to generate recipes [http://lewisandquark.tumblr.com/post/140219420017/the-silicon-gourmet-training-a-neural-network-to] , 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
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 [http://lewisandquark.tumblr.com/post/140219420017/the-silicon-gourmet-training-a-neural-network-to] , 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
What is teaspoons?

What is teaspoons?

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

The Silicon Gourmet: training a neural network to generate cooking recipes

Neural networks are computer learning algorithms that mimic the interconnected neurons of a living brain, managing astonishing feats of image classification [http://googleresearch.blogspot.com/2015/06/inceptionism-going-deeper-into-neural.html] , speech recognition [https://www.youtube.com/watch?v=yxxRAHVtafI], or music generation [https://highnoongmt.wordpress.com/2015/08/11/deep-learning-for-assisting-the-process-of-music-composition-part-1/] by
You've successfully subscribed to AI Weirdness
Great! Next, complete checkout for full access to AI Weirdness
Welcome back! You've successfully signed in.
Unable to sign you in. Please try again.
Success! Your account is fully activated, you now have access to all content.
Error! Stripe checkout failed.
Success! Your billing info is updated.
Error! Billing info update failed.