"Autoencoding" is a data compression algorithm where the compression and decompression functions are 1) data-specific, 2) lossy, and 3) learned automatically from examples rather than engineered by a human. Additionally, in almost all contexts where the term "autoencoder" is used, the compression and decompression functions are implemented with neural networks.learn more here
Trained Sparse Autoencoder for sparse parameter p = [0.01, 0.1, 0.5, 0.8]
