Dr. James McCaffrey of Microsoft Research provides full code and step-by-step examples of anomaly detection, used to find items in a dataset that are different from the majority for tasks like ...

The autoencoder Train() method is called, and progress is monitored every 100 epochs: Starting training epoch: 0 MSE = 2.3826 epoch: 100 MSE = 0.0273 . . . epoch: 800 MSE = 0.0019 epoch: 900 MSE = ...