On denoising autoencoders trained to minimise binary cross-entropy

Antonia Creswell, Kai Arulkumaran, Anil A. Bharath

Denoising autoencoders (DAEs) are powerful deep learning models used for feature extraction, data generation and network pre-training. DAEs consist of an encoder and decoder which…