The stacked sparse autoencoder is a powerful deep learning architecture composed of multiple autoencoder layers, with each layer responsible for extracting features at different levels.

Between the encoder and decoder, the autoencoder learns the feature representation of the data through a hidden layer. HOLO has innovated and optimized the stacked sparse autoencoder by utilizing the ...