Neural Network-based Classifier

A Neural Network-based Classifier is a trained classifier that includes a NNet model.

• • It can range from being a NNet-based Binary Classifier to being a NNet-based n-Ary Classifier.
  • It can (typically) be a Software-based Prediction Function.
• Example(s):
  • a Trained Neural Network-based Classifier.
  • …
• Counter-Example(s):
  • a Trained Logistic Regression Classifier.
  • a Trained Decision Tree Classifier.
  • a Trained SVM Classifier.
  • a Trained Naive Bayes Classifier.
  • a NNet-based Ranking Function.
  • a NNet-based Numeric Estimation Function.
• See: CNN-based Classifier, Neural Network-based Binary Classifier.

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