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 dry chopped leaves 1/3 cup shallows 10 oz brink custard ¼ cup bread liquid 2 cup chopped pureiped sauce ½ cup baconfroots ¼ teaspoon brown leaves ½ cup vanilla pish and sours ½ cup white pistry sweet craps 1 tablespoon mold water ¼ teaspoon paper 1 cup dried chicken grisser 15 cup dried bottom of peats ¼ teaspoon finely grated ruck

And this is a thing that it came up with repeatedly for some reason, and was quite adamant that I use:

1 cup plaster cheese