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 ...

“We are using just one model now for the three types of ... in production and was difficult to update, whereas PyTorch had the same object detector and Faster-RCNN, so we started using PyTorch ...

The overall structure of the PyTorch autoencoder anomaly detection demo program ... create Dataset object # 2. create autoencoder net # 3. train autoencoder model # 4. compute and store reconstruction ...