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Bad recipes from a small neural net

After seeing produced text comes from the days of small neural networks to large multiling models, I have to carry: there is something special about young boys.

Perhaps it is a form of small networks cleaning networks by a book written by a book based on what you have given you, rather than drawing an earlier internet training. It is not secret drawing in a certain black line of Internet, simply meeting together in mathematical integration.

Ngakho-ke, lapho othile engicela ukuthi ngibe nohlu lwezobuciko ka-Okthoba art, njengoba ngenzeke eminyakeni edlule (2019, 2020, 2021, 2022, 2021, 2024, 2021, 2024, 2021, 2024, 2023, 2024, 2021, 2024, 2023, 2024, 2021, 2024, 2023, 2024, 2021, 2024, 2023, 2021, 2023, 2023, 2024, 2024, 2024, 2024, 2024, 2024, 2024) I entered Char-Rnn version, in the first time Andrej Karpathy in 2015 was renovated by my friend Dylan Hudson to interact with modern libraries. For training details, I gave you a collection of 800 jello recipes moved by users by 2020.

Char-RNN's recipes are so much understandable than GPT-2's were 2020. For example, this schedule for “Baniana Salad” recipe will contain zero bananas.

One banana salad

2 Little Cheese cooked cream
1/2 teaspoon of salt
1 spoon of lemon
1 teaspoon salt
1 cup of boiling water
_ the Meannaise cup
1 cup of Mayonnaise, chopped
1 teaspoon of gelatine
2 tbsp salt
1/4 cup chopped pimiento
1 cup of sour cream
1 tbsp, malicious salt
1 cup pulled out of cheese cream

4 hours or even melted (the IBing in the Chicken Sticest Cucust cucumbe cucumbe cucumbe cucumbe cucumbe cucumbe.

I have produced a pile of recipes and chose my favorite ingredients and recipes for use in ART Provings. Do they all happen to art? Doesn't matter. Are these very bad drawings in October issued this year? Maybe!

When you draw any of them, mark with # Botob255 to see how!

Bonus Bonus content: The rejected drawing network, and a few recipes.

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