The Encoder-Decoder architecture is a main stream deep learning model for biomedical image segmentation. The encoder fully compresses the input and generates encoded features, and the decoder then ...

This paper describes a targeted drug design method based on a framework of multiscale encoder-decoder. Encoders are used to encode target gene and protein features. A decoder is used to design drugs ...

CNN-Based Encoder-Decoder (TensorFlow) Uses convolutional layers to better capture spatial relationships in facial images, leading to more effective encoding and reconstruction. Eigenfaces (PCA) ...

In this paper, a method of knowledge reasoning and completion based on neural networks on the knowledge graph is designed for robots to simulate the reaction and learning process of human brains. Our ...