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 ...

An autoencoder is a neural network that predicts its own input. The diagram in Figure 3 shows the architecture of the 65-32-8-32-65 autoencoder used in the demo program.

Open in Viewer Fig 2. The deep learning architecture of the Breast Cancer Risk Calculator system. We developed the model with two autoencoder deep networks and one multilayer perceptron. The medical ...