Facing these situations and the training of deep learning model that needs great computing power support, the distributed algorithm that can carry out multi-party joint modeling has attracted everyone ...

Therefore, this paper proposes a deep clustering algorithm based on contractive autoencoder and self-paced learning. In the pre-training stage, robust features are learned by using a trained ...

Deep learning and artificial intelligence (AI) are rapidly evolving fields with new technologies emerging constantly. Five of the most promising emerging trends in this area include federated ...

A deep belief network (DBN ... A DBN can be further taught under supervision to perform categorization after this learning phase. An artificial neural network called an autoencoder is used to learn ...

Deep learning is changing our lives in small and large ways every day. Whether it’s Siri or Alexa following our voice commands, the real-time translation apps on our phones, or the computer ...

In this paper, we suggested a novel data-driven PI method for TEAM treatment using emerging bioinformatics techniques in combination with feature extraction using a deep autoencoder, one of the ...

For example, one can use an autoencoder to extract important features ... Figure 5 provides a block diagram showing some major deep learning methods to be discussed in the following sections. FIGURE 6 ...