A character-level LSTM (Long short-term memory) RNN (Recurrent Neural Network) is trained on ~100k recipes dataset using TensorFlow. The model suggested the recipes “Cream Soda with Onions”, “Puff Pastry Strawberry Soup”, “Zucchini flavor Tea”, and “Salmon Mousse of Beef and Stilton Salad with Jalapenos”. Yum!? Follow along this detailed guide with code to create your own recipe-generating chef.
Originally from KDnuggets https://ift.tt/3goJp4G
source https://365datascience.weebly.com/the-best-data-science-blog-2020/generating-cooking-recipes-using-tensorflow-and-lstm-recurrent-neural-network-a-step-by-step-guide
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