Yuan-Zhu Gan

Learning Deep Representations Using Convolutional Auto-Encoders with Symmetric Skip Connections

Convolutional neural networks (CNNs) have shown their power on many computer vision tasks. However, there are still some limitations, including their sensitivity to weight initialization and dependency to large scale labeled data. In this paper, we try to address these two problems by proposing a si…