After autoencoder model has been trained, the idea is to find data items that are difficult to correctly predict, or equivalently, difficult to reconstruct. The demo code scans through all 1,000 data ...

In this paper, we introduce a new method to analyse HIV using a combination of autoencoder networks and genetic algorithms. The proposed method is tested on a set of demographic properties of ...