A novel deep model for image recognition

  • Ming Zhu, Yan Wu
  • Published 2014 in
    2014 IEEE 5th International Conference on…


In this paper we propose a hybrid deep network for image recognition. First we use the sparse autoencoder(SAE) which is a method to extract high-level feature representations of data in an unsupervised way, without any manual feature engineering, and then we perform the classification using the deep belief networks(DBNs), which consist of restricted… (More)