An Exploration of Model-State Data in Anomaly Detection

The Untapped Potential of Neuron-State Data

Have you ever wondered if there’s a better way to spot what doesn’t belong in a set of image data?

Traditional methods have their place, but what if the key to a more refined approach lies within the model itself — specifically, in the state of its neurons?

Could these neural states offer a new perspective on detecting anomalies, providing us with insights we’ve previously overlooked?

Let’s find out!

I performed …

anomaly anomaly detection author data data science detection ever exploration image image data isolation-forests key lies machine learning neural networks neuron set spot state the key