The experimental results show that this method can effectively integrate the channel attention module and the fully convolutional autoencoder. Although it is an unsupervised feature learning model, it ...

Understanding Neural Autoencoders The diagram in Figure 2 illustrates a neural autoencoder. The autoencoder has the same number of inputs and outputs (9) as the demo program, but for simplicity the ...

Deep learning, especially Convolutional Neural Network (CNN ... and 95.02% respectively by CNN autoencoder. The proposed architecture was tested and compared to the other state-of-the-art methods. The ...

With the autoencoder structure, we binarized the three separate convolutional layers in both the encoder and decoder and kept other structures unchanged. The convolutional layer is replaced by the ...

The purpose of this study was to investigate the efficacy of a 3D convolutional autoencoder (3D-CAE ... particularly when investigating psychiatric disorders, the appropriate architecture of 3D-CAE ...