Using Machine Learning To Improve UI/UX
summary
Claim: a small neural network can detect malicious or intentful text and drive live DOM changes. Implementation uses brain js on a Node Express backend, trains a supervised model (outputs error margin and iterations) with a demo network of three hidden layers. Inputs are simple word-value arrays (e.g., detecting "select" as suspicious), the app changes colors to signal a flagged user. It’s a proof-of-concept that runs on the server, trains and train run quickly but isn’t production hardened.
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chapters (6)
- 0:00Start
- 0:41Overview
- 3:59Neural Networks In Web Development
- 6:14Brain.js
- 9:19Part 1: Deciding Which Features To Use
- 18:21Key Takeaways
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