Re:Three bad recipes generated by neural network (2017)
by YeGoblynQueenne on Sunday June 17, 2018 @07:30AM
(#17331915)
Actually, it's pretty amazing that it got the structure of the recipes right- title first (with subtitle), ingredients list next, complete with quantities, then preparation and even serving suggestions at the very end (Serve on ranged removable pieces; lol).
There's no information on the training (the link on the top first asks me to accept targeted ads so, no) but it looks like an LSTM trained to predict the next character (hence the nonsensical names of the recipes and some other words, clearly invented by the network to approximate real words in its training data). In a way it's really impressive that this sort of setup can learn such rigid structure.
On the other hand, not an expert, but I'm pretty sure there are ways to force the network to learn that the ingredients list and the prepration section must be somehow related. I think, something something attention something would make for more coherent results :)
There's no information on the training (the link on the top first asks me to accept targeted ads so, no) but it looks like an LSTM trained to predict the next character (hence the nonsensical names of the recipes and some other words, clearly invented by the network to approximate real words in its training data). In a way it's really impressive that this sort of setup can learn such rigid structure.
On the other hand, not an expert, but I'm pretty sure there are ways to force the network to learn that the ingredients list and the prepration section must be somehow related. I think, something something attention something would make for more coherent results :)