Three bad recipes generated by neural network (2017)

Re:Three bad recipes generated by neural network (2017) by jedberg on Saturday June 16, 2018 @06:43PM (#17329884)

If you put whole recipes into the neural network, of course it won't work. You need to separate the parts. One neural network for ingredients, and a separate one for "instructions".

Then you feed the output of the first network into the second to get a set of preparations that actually prepare the chosen ingredients.

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Re:Three bad recipes generated by neural network (2017) by crististm on Sunday June 17, 2018 @06:40AM (#17331780)

What about your solution makes it right?

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Re:Three bad recipes generated by neural network (2017) by bostik on Sunday June 17, 2018 @08:49AM (#17332137)

I would think it wouldn't get things right. But it should get things less incorrect.

The ingredients are a set of items. Preparation is a sequence of steps with the ingredients as input. A neural network taught on lots of recipes should be able to come with sequences that actually make sense given the ingredients.

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Re:Three bad recipes generated by neural network (2017) by ricardobeat on Sunday June 17, 2018 @09:40AM (#17332323)

The choice of ingredients is also a function of the desired preparation / serving. This will probably generate more realistic recipes but still nothing usable.

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Re:Three bad recipes generated by neural network (2017) by jedberg on Sunday June 17, 2018 @02:54PM (#17333695)

That would be accounted for though. If say the standard prep for chicken involves butter, all the training recipes would have butter with chicken.

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