The Data Science Lab Autoencoder Anomaly Detection Using PyTorch Dr. James McCaffrey of Microsoft Research provides full code and step-by-step examples of anomaly detection, used to find items in a ...

Their models are of the autoencoder type, that self-organises the information and finds interrelation patterns in the large amount of data.

Compared to using PCA for dimensionality reduction, using a neural autoencoder has the big advantage that it works with source data that contains both numeric and categorical data, while PCA works ...

Their models are of the autoencoder type, that self-organises the information and finds interrelation patterns in the large amount of data.

Essentially all cells in an organism's body have the same genetic blueprint, or genome, but the set of genes that are actively expressed at any given time in a cell determines what type of cell it ...

Understanding what is happening inside the “black box” of large protein models could help researchers choose better models for a particular task, helping to streamline the process of identifying new ...

Their models are of the autoencoder type, that self-organizes the information and finds interrelation patterns in the large amount of data.