Loss Functions:
Teaching Your Neural Network Right from Wrong

By Christopher Miller

So far, our neural network can make predictions, but how does it know if those predictions are any good? That’s like having a student take a test but never getting it graded. Without feedback, there’s no way to improve. This is where loss functions come in – they’re essentially the grading system for your neural network. by Christopher Miller

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

Leave a comment

Use the form below to leave a comment: