Deep Symmetric Autoencoders

New symmetric autoencoders offer theoretical foundation for deep learning

Researchers have introduced a new class of deep learning architectures called symmetric autoencoders, offering a more robust theoretical foundation compared to existing methods. This work formally distinguishes between …