AI Weirdness: the strange side of machine learning

Tag: recipes

Total 34 Posts
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
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 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
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