Understanding Neural Networks

Neural networks are the fundamental building block of modern AI. Let's start with the simplest example: 1 input, 1 parameter, 1 output.

The network multiplies the input by the parameter to produce the output.

Each connection in the network has a weight that determines how strongly the input influences the output.

model = NeuralNetwork(layers=[1, 4, 1])

This simple model can be trained to approximate many functions with sufficient layers and parameters.

Further Reading

For more on neural networks, see the references section at the end of this article.