Simplified neural network example for object detection: As seen at the output at right, the network is trained to associate a ringed texture and star outline with a starfish, and a striped texture and oval shape with a sea urchin. In this run, it correctly detects the starfish in the input picture at left. In addition, a shell that was not included in the training gives a weak signal for the oval shape, resulting in a weak signal from only one of two intermediate nodes for the sea urchin output, which may still result in a false positive result (or "hallucination") for sea urchin. In reality, textures and outlines would not be represented by single nodes, but rather by associated weight patterns of multiple nodes.
Own work

Reference: Ferrie, C., &amp; Kaiser, S. (2019)       Neural Networks for Babies, Sourcebooks  ISBN:  1492671207.
Mikael Häggström, M.D. Author info - Reusing images- Conflicts of interest:  NoneMikael Häggström, M.D.