Forward Propagation:
Building Your First Neural Network in PHP

By Christopher Miller

So we’ve built our single perceptron and taught it to make simple decisions. That’s great, but here’s the thing – one perceptron can only solve problems that are linearly separable. Think of trying to separate two groups of data with a straight line. If you can draw a straight line that perfectly separates the groups, a single perceptron can handle it. But what if the data is more complex than that? by Christopher Miller

This article was originally published in the April 2026 issue of PHP Architect magazine. To read the complete article please subscribe or purchase the complete issue.

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