How a Neural Network Learned Its Own Fraud Rules: A Neuro-Symbolic AI Experiment
Most neuro-symbolic systems inject rules written by humans. But what if a neural network could discover those rules itself? In this experiment, I extend a hybrid neural network with a differentiable rule-learning module that automatically extracts IF-THEN fraud rules during training. On the Kaggle C
Emmimal P Alexander
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Towards Data Science
https://towardsdatascience.com/how-a-neural-network-learned-its-own-fraud-rules-a-neuro-symbolic-ai-experiment/Most neuro-symbolic systems inject rules written by humans. But what if a neural network could discover those rules itself?
In this experiment, I extend a hybrid neural network with a differentiable rule-learning module that automatically extracts IF-THEN fraud rules during training. On the Kaggle Credit Card Fraud dataset (0.17% fraud rate), the model learned interpretable rules such as:
The post How a Neural Network Learned Its Own Fraud Rules: A Neuro-Symbolic AI Experiment appeared first on Towards Data Science.
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