Predict a Pie with AI

In this workshop, we are introducing the concept of Artificial Intelligence (AI) and how it is able to make predictions using a neural network. Similar to how the human brain makes decisions using the neural network process, AI uses neural networks to predict things such as the weather, climate change effects, the stock market, etc.

Wire up a neural network to predict which combinations of ingredients result in a delicious pie!

In this workshop, we will take a look at the basic building blocks of neural networks and build our own neural network using pie ingredients!

The activity begins with you becoming a baker and you want to become the best baker in town. But you have way too many ingredients and coming up with combinations with each ingredient will just be too time-consuming. We can use AI neural networks to help us come up with delicious recipes!

First, you will learn how a neural network works by building a simple network with ingredients of your choice. You will start by having two simple outputs such as “delicious pie” and “other”. Then you will learn how to connect different nodes together to get the output you want with your chosen ingredients. You will also see how not every combination of ingredients actually would be delicious and how some unexpected combinations can turn out to be delicious. You will learn to do exactly what a neural network AI does and how it makes predictions based on random ingredients.

Toggle the ingredients in our pre-trained neural network to create your own recipe

Then you can test out our pre-trained neural network to get any random pie recipes or choose to get a sweet, quiche, pizza, savory or weird pie. You can also play around with the ingredients we have in our pre-trained neural network and come up with recipe combinations on your own and see what our AI thinks it will taste like!