AI Weirdness: the strange side of machine learning

Tag: cookbook

Total 10 Posts
It’s time for Cooking With Neural Networks!

It’s time for Cooking With Neural Networks!

Neural networks are computer programs that learn by example. Rather than a programmer teaching them step-by-step rules on how to solve a problem, neural networks try to deduce their own rules by looking at examples of lots of successful solutions. One of the first problems I tried to solve with
The neural network doesn’t understand proper nouns.

The neural network doesn’t understand proper nouns.

As the neural network begins to get better at generating cookbook recipes, it continues to have trouble with recipe sources - short and highly varied, they’re a challenge for an algorithm that learns by repetition. Still, it does its best: Source: Carrots Shared By: Eander Moistly Recipe By : Berrand
Disturbingly vague ingredients generated by neural network

Disturbingly vague ingredients generated by neural network

This neural network, a learning algorithm trained on 30MB of cookbook recipes, generates new recipes based on probabilities. The resulting ingredients, while their words are individually probable, can end up disturbingly vague. “Yeah… I’m pretty sure this recipe’s gonna contain some… chunks.” ¼ cup white seeds 1 cup mixture
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
The neural network doesn’t understand ingredients

The neural network doesn’t understand ingredients

As the neural network learns to generate recipes, it’s very clear from the ingredients it produces that it has no clue what these words actually mean, or whether the substances involved are powders, liquids, solids, etc. It just knows that certain kinds of words tend to go after other
The neural network doesn’t understand pepper.

The neural network doesn’t understand pepper.

As the neural network tries to learn to generate recipes by looking at a 30MB cookbook, there are certain ingredients it has to learn to deal with. One of the most confusing for the network is pepper. In retrospect, that makes some sense - it’s looking at example recipes
What is teaspoons?

What is teaspoons?

I’m training a neural network to generate cookbook recipes. It looks at a bunch of recipes and has to figure out completely from scratch - no knowledge of what English words even are - how to start generating more recipes like them. It has to start by figuring out
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